Berk/assay-0.6b

{
  "_asked": "Berk/assay-0.6b",
  "_id": "6ab2ba930f3a28ec7b99843c",
  "author": "Berk",
  "cardData": {
    "base_model": "Qwen/Qwen3-0.6B-Base",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "zero-shot-classification",
    "tags": [
      "assay",
      "decision-model",
      "calibrated",
      "conformal-prediction",
      "text-classification",
      "structured-output"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "chat_template_jinja": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|endoftext|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-22T17:27:47.000Z",
  "disabled": false,
  "downloads": 123,
  "gated": false,
  "id": "Berk/assay-0.6b",
  "lastModified": "2026-09-24T14:03:07.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "Berk/assay-0.6b",
  "pipeline_tag": "zero-shot-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 596049920
    },
    "total": 596049920
  },
  "sha": "4c99ddc1432c303f3ecfab72339f59ef50da1059",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "adapter/README.md"
    },
    {
      "rfilename": "adapter/adapter_config.json"
    },
    {
      "rfilename": "adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "assay_config.json"
    },
    {
      "rfilename": "assay_head.safetensors"
    },
    {
      "rfilename": "calibration.json"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "conformal-eval.json"
    },
    {
      "rfilename": "conformal.json"
    },
    {
      "rfilename": "eval-dev-scaled.json"
    },
    {
      "rfilename": "eval-dev.json"
    },
    {
      "rfilename": "eval-holdout-scaled.json"
    },
    {
      "rfilename": "eval-holdout.json"
    },
    {
      "rfilename": "eval-transfer-v4-scaled.json"
    },
    {
      "rfilename": "eval-transfer-v4.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "train_args.json"
    },
    {
      "rfilename": "train_log.jsonl"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "assay",
    "decision-model",
    "calibrated",
    "conformal-prediction",
    "text-classification",
    "structured-output",
    "zero-shot-classification",
    "en",
    "base_model:Qwen/Qwen3-0.6B-Base",
    "base_model:finetune:Qwen/Qwen3-0.6B-Base",
    "license:apache-2.0",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1243984150,
  "widgetData": [
    {
      "candidate_labels": "urgent, not urgent, phone, tablet, computer",
      "multi_class": true,
      "text": "I have a problem with my iphone that needs to be resolved asap!"
    },
    {
      "candidate_labels": "mobile, website, billing, account access",
      "multi_class": false,
      "text": "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
    },
    {
      "candidate_labels": "space & cosmos, scientific discovery, microbiology, robots, archeology",
      "multi_class": true,
      "text": "A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher, best known for his contributions to the search for the solar system’s missing “Planet Nine,” spotted a beer bottle. At a steep, 20 degree grade, he wondered why it wasn’t rolling down the hill. He realized there was a breeze at his back holding the bottle in place. Then he had a thought that would only pop into the mind of a theoretical astrophysicist: “Oh! This is how Europa formed.” Europa is one of Jupiter’s four large Galilean moons. And in a paper published Monday in the Astrophysical Journal, Dr. Batygin and a co-author, Alessandro Morbidelli, a planetary scientist at the Côte d’Azur Observatory in France, present a theory explaining how some moons form around gas giants like Jupiter and Saturn, suggesting that millimeter-sized grains of hail produced during the solar system’s formation became trapped around these massive worlds, taking shape one at a time into the potentially habitable moons we know today."
    }
  ]
}

{
  "_asked": "Berk/assay-0.6b",
  "_id": "6ab2ba930f3a28ec7b99843c",
  "author": "Berk",
  "cardData": {
    "base_model": "Qwen/Qwen3-0.6B-Base",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "zero-shot-classification",
    "tags": [
      "assay",
      "decision-model",
      "calibrated",
      "conformal-prediction",
      "text-classification",
      "structured-output"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "chat_template_jinja": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|endoftext|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-22T17:27:47.000Z",
  "disabled": false,
  "downloads": 123,
  "gated": false,
  "id": "Berk/assay-0.6b",
  "lastModified": "2026-09-24T14:03:07.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "Berk/assay-0.6b",
  "pipeline_tag": "zero-shot-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 596049920
    },
    "total": 596049920
  },
  "sha": "4c99ddc1432c303f3ecfab72339f59ef50da1059",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "adapter/README.md"
    },
    {
      "rfilename": "adapter/adapter_config.json"
    },
    {
      "rfilename": "adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "assay_config.json"
    },
    {
      "rfilename": "assay_head.safetensors"
    },
    {
      "rfilename": "calibration.json"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "conformal-eval.json"
    },
    {
      "rfilename": "conformal.json"
    },
    {
      "rfilename": "eval-dev-scaled.json"
    },
    {
      "rfilename": "eval-dev.json"
    },
    {
      "rfilename": "eval-holdout-scaled.json"
    },
    {
      "rfilename": "eval-holdout.json"
    },
    {
      "rfilename": "eval-transfer-v4-scaled.json"
    },
    {
      "rfilename": "eval-transfer-v4.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "train_args.json"
    },
    {
      "rfilename": "train_log.jsonl"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "assay",
    "decision-model",
    "calibrated",
    "conformal-prediction",
    "text-classification",
    "structured-output",
    "zero-shot-classification",
    "en",
    "base_model:Qwen/Qwen3-0.6B-Base",
    "base_model:finetune:Qwen/Qwen3-0.6B-Base",
    "license:apache-2.0",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1243984150,
  "widgetData": [
    {
      "candidate_labels": "urgent, not urgent, phone, tablet, computer",
      "multi_class": true,
      "text": "I have a problem with my iphone that needs to be resolved asap!"
    },
    {
      "candidate_labels": "mobile, website, billing, account access",
      "multi_class": false,
      "text": "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
    },
    {
      "candidate_labels": "space & cosmos, scientific discovery, microbiology, robots, archeology",
      "multi_class": true,
      "text": "A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher, best known for his contributions to the search for the solar system’s missing “Planet Nine,” spotted a beer bottle. At a steep, 20 degree grade, he wondered why it wasn’t rolling down the hill. He realized there was a breeze at his back holding the bottle in place. Then he had a thought that would only pop into the mind of a theoretical astrophysicist: “Oh! This is how Europa formed.” Europa is one of Jupiter’s four large Galilean moons. And in a paper published Monday in the Astrophysical Journal, Dr. Batygin and a co-author, Alessandro Morbidelli, a planetary scientist at the Côte d’Azur Observatory in France, present a theory explaining how some moons form around gas giants like Jupiter and Saturn, suggesting that millimeter-sized grains of hail produced during the solar system’s formation became trapped around these massive worlds, taking shape one at a time into the potentially habitable moons we know today."
    }
  ]
}

{
  "_asked": "Berk/assay-0.6b",
  "_id": "6ab2ba930f3a28ec7b99843c",
  "author": "Berk",
  "cardData": {
    "base_model": "Qwen/Qwen3-0.6B-Base",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "zero-shot-classification",
    "tags": [
      "assay",
      "decision-model",
      "calibrated",
      "conformal-prediction",
      "text-classification",
      "structured-output"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "chat_template_jinja": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|endoftext|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-22T17:27:47.000Z",
  "disabled": false,
  "downloads": 123,
  "gated": false,
  "id": "Berk/assay-0.6b",
  "lastModified": "2026-09-24T14:03:07.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "Berk/assay-0.6b",
  "pipeline_tag": "zero-shot-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 596049920
    },
    "total": 596049920
  },
  "sha": "4c99ddc1432c303f3ecfab72339f59ef50da1059",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "adapter/README.md"
    },
    {
      "rfilename": "adapter/adapter_config.json"
    },
    {
      "rfilename": "adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "assay_config.json"
    },
    {
      "rfilename": "assay_head.safetensors"
    },
    {
      "rfilename": "calibration.json"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "conformal-eval.json"
    },
    {
      "rfilename": "conformal.json"
    },
    {
      "rfilename": "eval-dev-scaled.json"
    },
    {
      "rfilename": "eval-dev.json"
    },
    {
      "rfilename": "eval-holdout-scaled.json"
    },
    {
      "rfilename": "eval-holdout.json"
    },
    {
      "rfilename": "eval-transfer-v4-scaled.json"
    },
    {
      "rfilename": "eval-transfer-v4.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "train_args.json"
    },
    {
      "rfilename": "train_log.jsonl"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "assay",
    "decision-model",
    "calibrated",
    "conformal-prediction",
    "text-classification",
    "structured-output",
    "zero-shot-classification",
    "en",
    "base_model:Qwen/Qwen3-0.6B-Base",
    "base_model:finetune:Qwen/Qwen3-0.6B-Base",
    "license:apache-2.0",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1243984150,
  "widgetData": [
    {
      "candidate_labels": "urgent, not urgent, phone, tablet, computer",
      "multi_class": true,
      "text": "I have a problem with my iphone that needs to be resolved asap!"
    },
    {
      "candidate_labels": "mobile, website, billing, account access",
      "multi_class": false,
      "text": "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
    },
    {
      "candidate_labels": "space & cosmos, scientific discovery, microbiology, robots, archeology",
      "multi_class": true,
      "text": "A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher, best known for his contributions to the search for the solar system’s missing “Planet Nine,” spotted a beer bottle. At a steep, 20 degree grade, he wondered why it wasn’t rolling down the hill. He realized there was a breeze at his back holding the bottle in place. Then he had a thought that would only pop into the mind of a theoretical astrophysicist: “Oh! This is how Europa formed.” Europa is one of Jupiter’s four large Galilean moons. And in a paper published Monday in the Astrophysical Journal, Dr. Batygin and a co-author, Alessandro Morbidelli, a planetary scientist at the Côte d’Azur Observatory in France, present a theory explaining how some moons form around gas giants like Jupiter and Saturn, suggesting that millimeter-sized grains of hail produced during the solar system’s formation became trapped around these massive worlds, taking shape one at a time into the potentially habitable moons we know today."
    }
  ]
}

{
  "_asked": "Berk/assay-0.6b",
  "_id": "6ab2ba930f3a28ec7b99843c",
  "author": "Berk",
  "cardData": {
    "base_model": "Qwen/Qwen3-0.6B-Base",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "zero-shot-classification",
    "tags": [
      "assay",
      "decision-model",
      "calibrated",
      "conformal-prediction",
      "text-classification",
      "structured-output"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "chat_template_jinja": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|endoftext|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-22T17:27:47.000Z",
  "disabled": false,
  "downloads": 123,
  "gated": false,
  "id": "Berk/assay-0.6b",
  "lastModified": "2026-09-24T14:03:07.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "Berk/assay-0.6b",
  "pipeline_tag": "zero-shot-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 596049920
    },
    "total": 596049920
  },
  "sha": "4c99ddc1432c303f3ecfab72339f59ef50da1059",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "adapter/README.md"
    },
    {
      "rfilename": "adapter/adapter_config.json"
    },
    {
      "rfilename": "adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "assay_config.json"
    },
    {
      "rfilename": "assay_head.safetensors"
    },
    {
      "rfilename": "calibration.json"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "conformal-eval.json"
    },
    {
      "rfilename": "conformal.json"
    },
    {
      "rfilename": "eval-dev-scaled.json"
    },
    {
      "rfilename": "eval-dev.json"
    },
    {
      "rfilename": "eval-holdout-scaled.json"
    },
    {
      "rfilename": "eval-holdout.json"
    },
    {
      "rfilename": "eval-transfer-v4-scaled.json"
    },
    {
      "rfilename": "eval-transfer-v4.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "train_args.json"
    },
    {
      "rfilename": "train_log.jsonl"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "assay",
    "decision-model",
    "calibrated",
    "conformal-prediction",
    "text-classification",
    "structured-output",
    "zero-shot-classification",
    "en",
    "base_model:Qwen/Qwen3-0.6B-Base",
    "base_model:finetune:Qwen/Qwen3-0.6B-Base",
    "license:apache-2.0",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1243984150,
  "widgetData": [
    {
      "candidate_labels": "urgent, not urgent, phone, tablet, computer",
      "multi_class": true,
      "text": "I have a problem with my iphone that needs to be resolved asap!"
    },
    {
      "candidate_labels": "mobile, website, billing, account access",
      "multi_class": false,
      "text": "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
    },
    {
      "candidate_labels": "space & cosmos, scientific discovery, microbiology, robots, archeology",
      "multi_class": true,
      "text": "A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher, best known for his contributions to the search for the solar system’s missing “Planet Nine,” spotted a beer bottle. At a steep, 20 degree grade, he wondered why it wasn’t rolling down the hill. He realized there was a breeze at his back holding the bottle in place. Then he had a thought that would only pop into the mind of a theoretical astrophysicist: “Oh! This is how Europa formed.” Europa is one of Jupiter’s four large Galilean moons. And in a paper published Monday in the Astrophysical Journal, Dr. Batygin and a co-author, Alessandro Morbidelli, a planetary scientist at the Côte d’Azur Observatory in France, present a theory explaining how some moons form around gas giants like Jupiter and Saturn, suggesting that millimeter-sized grains of hail produced during the solar system’s formation became trapped around these massive worlds, taking shape one at a time into the potentially habitable moons we know today."
    }
  ]
}

{
  "_asked": "Berk/assay-0.6b",
  "_id": "6ab2ba930f3a28ec7b99843c",
  "author": "Berk",
  "cardData": {
    "base_model": "Qwen/Qwen3-0.6B-Base",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "zero-shot-classification",
    "tags": [
      "assay",
      "decision-model",
      "calibrated",
      "conformal-prediction",
      "text-classification",
      "structured-output"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "chat_template_jinja": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|endoftext|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-22T17:27:47.000Z",
  "disabled": false,
  "downloads": 123,
  "gated": false,
  "id": "Berk/assay-0.6b",
  "lastModified": "2026-09-24T14:03:07.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "Berk/assay-0.6b",
  "pipeline_tag": "zero-shot-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 596049920
    },
    "total": 596049920
  },
  "sha": "4c99ddc1432c303f3ecfab72339f59ef50da1059",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "adapter/README.md"
    },
    {
      "rfilename": "adapter/adapter_config.json"
    },
    {
      "rfilename": "adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "assay_config.json"
    },
    {
      "rfilename": "assay_head.safetensors"
    },
    {
      "rfilename": "calibration.json"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "conformal-eval.json"
    },
    {
      "rfilename": "conformal.json"
    },
    {
      "rfilename": "eval-dev-scaled.json"
    },
    {
      "rfilename": "eval-dev.json"
    },
    {
      "rfilename": "eval-holdout-scaled.json"
    },
    {
      "rfilename": "eval-holdout.json"
    },
    {
      "rfilename": "eval-transfer-v4-scaled.json"
    },
    {
      "rfilename": "eval-transfer-v4.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "train_args.json"
    },
    {
      "rfilename": "train_log.jsonl"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "assay",
    "decision-model",
    "calibrated",
    "conformal-prediction",
    "text-classification",
    "structured-output",
    "zero-shot-classification",
    "en",
    "base_model:Qwen/Qwen3-0.6B-Base",
    "base_model:finetune:Qwen/Qwen3-0.6B-Base",
    "license:apache-2.0",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1243984150,
  "widgetData": [
    {
      "candidate_labels": "urgent, not urgent, phone, tablet, computer",
      "multi_class": true,
      "text": "I have a problem with my iphone that needs to be resolved asap!"
    },
    {
      "candidate_labels": "mobile, website, billing, account access",
      "multi_class": false,
      "text": "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
    },
    {
      "candidate_labels": "space & cosmos, scientific discovery, microbiology, robots, archeology",
      "multi_class": true,
      "text": "A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher, best known for his contributions to the search for the solar system’s missing “Planet Nine,” spotted a beer bottle. At a steep, 20 degree grade, he wondered why it wasn’t rolling down the hill. He realized there was a breeze at his back holding the bottle in place. Then he had a thought that would only pop into the mind of a theoretical astrophysicist: “Oh! This is how Europa formed.” Europa is one of Jupiter’s four large Galilean moons. And in a paper published Monday in the Astrophysical Journal, Dr. Batygin and a co-author, Alessandro Morbidelli, a planetary scientist at the Côte d’Azur Observatory in France, present a theory explaining how some moons form around gas giants like Jupiter and Saturn, suggesting that millimeter-sized grains of hail produced during the solar system’s formation became trapped around these massive worlds, taking shape one at a time into the potentially habitable moons we know today."
    }
  ]
}

{
  "_asked": "Berk/assay-0.6b",
  "_id": "6ab2ba930f3a28ec7b99843c",
  "author": "Berk",
  "cardData": {
    "base_model": "Qwen/Qwen3-0.6B-Base",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "zero-shot-classification",
    "tags": [
      "assay",
      "decision-model",
      "calibrated",
      "conformal-prediction",
      "text-classification",
      "structured-output"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "chat_template_jinja": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|endoftext|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-22T17:27:47.000Z",
  "disabled": false,
  "downloads": 123,
  "gated": false,
  "id": "Berk/assay-0.6b",
  "lastModified": "2026-09-24T14:03:07.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "Berk/assay-0.6b",
  "pipeline_tag": "zero-shot-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 596049920
    },
    "total": 596049920
  },
  "sha": "4c99ddc1432c303f3ecfab72339f59ef50da1059",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "adapter/README.md"
    },
    {
      "rfilename": "adapter/adapter_config.json"
    },
    {
      "rfilename": "adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "assay_config.json"
    },
    {
      "rfilename": "assay_head.safetensors"
    },
    {
      "rfilename": "calibration.json"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "conformal-eval.json"
    },
    {
      "rfilename": "conformal.json"
    },
    {
      "rfilename": "eval-dev-scaled.json"
    },
    {
      "rfilename": "eval-dev.json"
    },
    {
      "rfilename": "eval-holdout-scaled.json"
    },
    {
      "rfilename": "eval-holdout.json"
    },
    {
      "rfilename": "eval-transfer-v4-scaled.json"
    },
    {
      "rfilename": "eval-transfer-v4.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "train_args.json"
    },
    {
      "rfilename": "train_log.jsonl"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "assay",
    "decision-model",
    "calibrated",
    "conformal-prediction",
    "text-classification",
    "structured-output",
    "zero-shot-classification",
    "en",
    "base_model:Qwen/Qwen3-0.6B-Base",
    "base_model:finetune:Qwen/Qwen3-0.6B-Base",
    "license:apache-2.0",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1243984150,
  "widgetData": [
    {
      "candidate_labels": "urgent, not urgent, phone, tablet, computer",
      "multi_class": true,
      "text": "I have a problem with my iphone that needs to be resolved asap!"
    },
    {
      "candidate_labels": "mobile, website, billing, account access",
      "multi_class": false,
      "text": "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
    },
    {
      "candidate_labels": "space & cosmos, scientific discovery, microbiology, robots, archeology",
      "multi_class": true,
      "text": "A new model offers an explanation for how the Galilean satellites formed around the solar system’s largest world. Konstantin Batygin did not set out to solve one of the solar system’s most puzzling mysteries when he went for a run up a hill in Nice, France. Dr. Batygin, a Caltech researcher, best known for his contributions to the search for the solar system’s missing “Planet Nine,” spotted a beer bottle. At a steep, 20 degree grade, he wondered why it wasn’t rolling down the hill. He realized there was a breeze at his back holding the bottle in place. Then he had a thought that would only pop into the mind of a theoretical astrophysicist: “Oh! This is how Europa formed.” Europa is one of Jupiter’s four large Galilean moons. And in a paper published Monday in the Astrophysical Journal, Dr. Batygin and a co-author, Alessandro Morbidelli, a planetary scientist at the Côte d’Azur Observatory in France, present a theory explaining how some moons form around gas giants like Jupiter and Saturn, suggesting that millimeter-sized grains of hail produced during the solar system’s formation became trapped around these massive worlds, taking shape one at a time into the potentially habitable moons we know today."
    }
  ]
}