chaoliangUNSW/Jev-Style-0.8B-Decision-v3

hf chaoliangUNSW/Jev-Style-0.8B-Decision-v3 2 sources, 3 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
GGUF quantisationschaoliangUNSW
receipt
Source
GGUF quantisations
Its words
chaoliangUNSW
Read by
field:author
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab53b1541170bc1b2e8e67e",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model_relation": "quantized",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "jev-style",
      "system-one",
      "calibration",
      "long-context",
      "multilingual",
      "qwen3.5",
      "gguf",
      "llama.cpp",
      "on-device"
    ]
  },
  "createdAt": "2026-09-24T15:00:37.000Z",
  "downloads": 1397,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "lastModified": "2026-09-26T11:50:27.000Z",
  "library_name": "gguf",
  "likes": 10,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "pipeline_tag": "text-classification",
  "private": false,
  "sha": "edf37c26a1098f83cf4264b8adbe0dca2d2ebb0c",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-F16.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q4_K_M.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q8_0.gguf"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "build_jev_score.sh"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "jev_score.cpp"
    },
    {
      "rfilename": "jev_style_decision_gguf.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer/tokenizer.json"
    },
    {
      "rfilename": "tokenizer/tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "decision-model",
    "jev-style",
    "system-one",
    "calibration",
    "long-context",
    "multilingual",
    "qwen3.5",
    "llama.cpp",
    "on-device",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model:quantized:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Author
author
Hugging Face modelschaoliangUNSW
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Base
base
GGUF quantisationschaoliangUNSW/Jev-Style-0.8B-Decision-v3
receipt
Source
GGUF quantisations
Its words
chaoliangUNSW/Jev-Style-0.8B-Decision-v3
Read by
field:cardData.base_model[]
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab53b1541170bc1b2e8e67e",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model_relation": "quantized",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "jev-style",
      "system-one",
      "calibration",
      "long-context",
      "multilingual",
      "qwen3.5",
      "gguf",
      "llama.cpp",
      "on-device"
    ]
  },
  "createdAt": "2026-09-24T15:00:37.000Z",
  "downloads": 1397,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "lastModified": "2026-09-26T11:50:27.000Z",
  "library_name": "gguf",
  "likes": 10,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "pipeline_tag": "text-classification",
  "private": false,
  "sha": "edf37c26a1098f83cf4264b8adbe0dca2d2ebb0c",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-F16.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q4_K_M.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q8_0.gguf"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "build_jev_score.sh"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "jev_score.cpp"
    },
    {
      "rfilename": "jev_style_decision_gguf.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer/tokenizer.json"
    },
    {
      "rfilename": "tokenizer/tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "decision-model",
    "jev-style",
    "system-one",
    "calibration",
    "long-context",
    "multilingual",
    "qwen3.5",
    "llama.cpp",
    "on-device",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model:quantized:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
GGUF quantisations1397
receipt
Source
GGUF quantisations
Its words
1397
Read by
field:downloads
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab53b1541170bc1b2e8e67e",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model_relation": "quantized",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "jev-style",
      "system-one",
      "calibration",
      "long-context",
      "multilingual",
      "qwen3.5",
      "gguf",
      "llama.cpp",
      "on-device"
    ]
  },
  "createdAt": "2026-09-24T15:00:37.000Z",
  "downloads": 1397,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "lastModified": "2026-09-26T11:50:27.000Z",
  "library_name": "gguf",
  "likes": 10,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "pipeline_tag": "text-classification",
  "private": false,
  "sha": "edf37c26a1098f83cf4264b8adbe0dca2d2ebb0c",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-F16.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q4_K_M.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q8_0.gguf"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "build_jev_score.sh"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "jev_score.cpp"
    },
    {
      "rfilename": "jev_style_decision_gguf.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer/tokenizer.json"
    },
    {
      "rfilename": "tokenizer/tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "decision-model",
    "jev-style",
    "system-one",
    "calibration",
    "long-context",
    "multilingual",
    "qwen3.5",
    "llama.cpp",
    "on-device",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model:quantized:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
Hugging Face models188
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Downloads
downloads
not compared
657
receipt
Source
Hugging Face models
Its words
657
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 12:21 UTC
Original
open at the source
2026-10-04 12:16 UTC657
2026-10-03 12:09 UTC601
2026-10-02 12:02 UTC531
What the source handed over
{
  "_asked": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
  "_id": "6ab53ae242b81173f23a44ae",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "Qwen/Qwen3.5-0.8B",
    "base_model_relation": "finetune",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "jev-style",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "transformers",
      "jev-style",
      "system-one",
      "calibration",
      "classification",
      "long-context",
      "multilingual",
      "qwen3.5",
      "on-device",
      "llm-routing",
      "guardrails"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3_5ForCausalLM"
    ],
    "chat_template_jinja": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {{- '<|im_start|>system\\n' + 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\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\n                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is true %}\n        {{- '<think>\\n' }}\n    {%- else %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3_5_text",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-24T14:59:46.000Z",
  "disabled": false,
  "downloads": 657,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
  "lastModified": "2026-10-02T21:54:20.000Z",
  "library_name": "jev-style",
  "likes": 4,
  "model-index": null,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
  "pipeline_tag": "text-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 752393024
    },
    "total": 752393024
  },
  "sha": "b023d1f9c7858fbf01504577a3bfc349ea5c7385",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/banner.data.json"
    },
    {
      "rfilename": "figures/banner.png"
    },
    {
      "rfilename": "figures/beyond_laya.json"
    },
    {
      "rfilename": "figures/beyond_laya.png"
    },
    {
      "rfilename": "figures/beyond_laya.svg"
    },
    {
      "rfilename": "figures/calibration.data.json"
    },
    {
      "rfilename": "figures/calibration.png"
    },
    {
      "rfilename": "figures/calibration.svg"
    },
    {
      "rfilename": "figures/design_table.data.json"
    },
    {
      "rfilename": "figures/design_table.png"
    },
    {
      "rfilename": "figures/design_table.svg"
    },
    {
      "rfilename": "figures/headline_typed.data.json"
    },
    {
      "rfilename": "figures/headline_typed.png"
    },
    {
      "rfilename": "figures/headline_typed.svg"
    },
    {
      "rfilename": "figures/jevbench.data.json"
    },
    {
      "rfilename": "figures/jevbench.png"
    },
    {
      "rfilename": "figures/jevbench.svg"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/long_context.json"
    },
    {
      "rfilename": "figures/long_context.png"
    },
    {
      "rfilename": "figures/long_context.svg"
    },
    {
      "rfilename": "figures/multilingual.data.json"
    },
    {
      "rfilename": "figures/multilingual.png"
    },
    {
      "rfilename": "figures/multilingual.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "figures/typed_teacher_noise.json"
    },
    {
      "rfilename": "figures/zeroshot.json"
    },
    {
      "rfilename": "figures/zeroshot.png"
    },
    {
      "rfilename": "figures/zeroshot.svg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "jev_style_decision.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "chaoliangUNSW/jev-style-v3",
    "chaoliangUNSW/jev-style-demo"
  ],
  "tags": [
    "jev-style",
    "safetensors",
    "qwen3_5_text",
    "text-generation",
    "decision-model",
    "transformers",
    "system-one",
    "calibration",
    "classification",
    "long-context",
    "multilingual",
    "qwen3.5",
    "on-device",
    "llm-routing",
    "guardrails",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:Qwen/Qwen3.5-0.8B",
    "base_model:finetune:Qwen/Qwen3.5-0.8B",
    "license:apache-2.0",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1527860318,
  "widgetData": [
    {
      "text": "I like you. I love you"
    }
  ]
}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Licence
licence
GGUF quantisationsapache-2.0
receipt
Source
GGUF quantisations
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab53b1541170bc1b2e8e67e",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model_relation": "quantized",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "jev-style",
      "system-one",
      "calibration",
      "long-context",
      "multilingual",
      "qwen3.5",
      "gguf",
      "llama.cpp",
      "on-device"
    ]
  },
  "createdAt": "2026-09-24T15:00:37.000Z",
  "downloads": 1397,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "lastModified": "2026-09-26T11:50:27.000Z",
  "library_name": "gguf",
  "likes": 10,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "pipeline_tag": "text-classification",
  "private": false,
  "sha": "edf37c26a1098f83cf4264b8adbe0dca2d2ebb0c",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-F16.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q4_K_M.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q8_0.gguf"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "build_jev_score.sh"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "jev_score.cpp"
    },
    {
      "rfilename": "jev_style_decision_gguf.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer/tokenizer.json"
    },
    {
      "rfilename": "tokenizer/tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "decision-model",
    "jev-style",
    "system-one",
    "calibration",
    "long-context",
    "multilingual",
    "qwen3.5",
    "llama.cpp",
    "on-device",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model:quantized:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Licence
licence
Hugging Face modelsapache-2.0
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared
GGUF quantisations10
receipt
Source
GGUF quantisations
Its words
10
Read by
field:likes
Said since
2026-09-28 11:46 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ab53b1541170bc1b2e8e67e",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model_relation": "quantized",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "jev-style",
      "system-one",
      "calibration",
      "long-context",
      "multilingual",
      "qwen3.5",
      "gguf",
      "llama.cpp",
      "on-device"
    ]
  },
  "createdAt": "2026-09-24T15:00:37.000Z",
  "downloads": 1397,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "lastModified": "2026-09-26T11:50:27.000Z",
  "library_name": "gguf",
  "likes": 10,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF",
  "pipeline_tag": "text-classification",
  "private": false,
  "sha": "edf37c26a1098f83cf4264b8adbe0dca2d2ebb0c",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-F16.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q4_K_M.gguf"
    },
    {
      "rfilename": "Jev-Style-0.8B-Decision-v3-Q8_0.gguf"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "build_jev_score.sh"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "jev_score.cpp"
    },
    {
      "rfilename": "jev_style_decision_gguf.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer/tokenizer.json"
    },
    {
      "rfilename": "tokenizer/tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "decision-model",
    "jev-style",
    "system-one",
    "calibration",
    "long-context",
    "multilingual",
    "qwen3.5",
    "llama.cpp",
    "on-device",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "base_model:quantized:chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Likes
likes
not compared
Hugging Face models3
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared
4
receipt
Source
Hugging Face models
Its words
4
Read by
field:likes
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-04 12:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
  "_id": "6ab53ae242b81173f23a44ae",
  "author": "chaoliangUNSW",
  "cardData": {
    "base_model": "Qwen/Qwen3.5-0.8B",
    "base_model_relation": "finetune",
    "language": [
      "en",
      "zh",
      "ar",
      "bg",
      "de",
      "el",
      "es",
      "fr",
      "hi",
      "ja",
      "ko",
      "pt",
      "ru",
      "sw",
      "ta",
      "th",
      "tr",
      "ur",
      "vi"
    ],
    "library_name": "jev-style",
    "license": "apache-2.0",
    "pipeline_tag": "text-classification",
    "tags": [
      "decision-model",
      "transformers",
      "jev-style",
      "system-one",
      "calibration",
      "classification",
      "long-context",
      "multilingual",
      "qwen3.5",
      "on-device",
      "llm-routing",
      "guardrails"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3_5ForCausalLM"
    ],
    "chat_template_jinja": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {{- '<|im_start|>system\\n' + 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\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\n                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is true %}\n        {{- '<think>\\n' }}\n    {%- else %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3_5_text",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-24T14:59:46.000Z",
  "disabled": false,
  "downloads": 657,
  "gated": false,
  "id": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
  "lastModified": "2026-10-02T21:54:20.000Z",
  "library_name": "jev-style",
  "likes": 4,
  "model-index": null,
  "modelId": "chaoliangUNSW/Jev-Style-0.8B-Decision-v3",
  "pipeline_tag": "text-classification",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 752393024
    },
    "total": 752393024
  },
  "sha": "b023d1f9c7858fbf01504577a3bfc349ea5c7385",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "figures/banner.data.json"
    },
    {
      "rfilename": "figures/banner.png"
    },
    {
      "rfilename": "figures/beyond_laya.json"
    },
    {
      "rfilename": "figures/beyond_laya.png"
    },
    {
      "rfilename": "figures/beyond_laya.svg"
    },
    {
      "rfilename": "figures/calibration.data.json"
    },
    {
      "rfilename": "figures/calibration.png"
    },
    {
      "rfilename": "figures/calibration.svg"
    },
    {
      "rfilename": "figures/design_table.data.json"
    },
    {
      "rfilename": "figures/design_table.png"
    },
    {
      "rfilename": "figures/design_table.svg"
    },
    {
      "rfilename": "figures/headline_typed.data.json"
    },
    {
      "rfilename": "figures/headline_typed.png"
    },
    {
      "rfilename": "figures/headline_typed.svg"
    },
    {
      "rfilename": "figures/jevbench.data.json"
    },
    {
      "rfilename": "figures/jevbench.png"
    },
    {
      "rfilename": "figures/jevbench.svg"
    },
    {
      "rfilename": "figures/latency.data.json"
    },
    {
      "rfilename": "figures/latency.png"
    },
    {
      "rfilename": "figures/latency.svg"
    },
    {
      "rfilename": "figures/long_context.json"
    },
    {
      "rfilename": "figures/long_context.png"
    },
    {
      "rfilename": "figures/long_context.svg"
    },
    {
      "rfilename": "figures/multilingual.data.json"
    },
    {
      "rfilename": "figures/multilingual.png"
    },
    {
      "rfilename": "figures/multilingual.svg"
    },
    {
      "rfilename": "figures/quantization.data.json"
    },
    {
      "rfilename": "figures/quantization.png"
    },
    {
      "rfilename": "figures/quantization.svg"
    },
    {
      "rfilename": "figures/typed_teacher_noise.json"
    },
    {
      "rfilename": "figures/zeroshot.json"
    },
    {
      "rfilename": "figures/zeroshot.png"
    },
    {
      "rfilename": "figures/zeroshot.svg"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "jev_style_decision.py"
    },
    {
      "rfilename": "manifest.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "readout_config.json"
    },
    {
      "rfilename": "release_config.json"
    },
    {
      "rfilename": "requirements.txt"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "chaoliangUNSW/jev-style-v3",
    "chaoliangUNSW/jev-style-demo"
  ],
  "tags": [
    "jev-style",
    "safetensors",
    "qwen3_5_text",
    "text-generation",
    "decision-model",
    "transformers",
    "system-one",
    "calibration",
    "classification",
    "long-context",
    "multilingual",
    "qwen3.5",
    "on-device",
    "llm-routing",
    "guardrails",
    "text-classification",
    "en",
    "zh",
    "ar",
    "bg",
    "de",
    "el",
    "es",
    "fr",
    "hi",
    "ja",
    "ko",
    "pt",
    "ru",
    "sw",
    "ta",
    "th",
    "tr",
    "ur",
    "vi",
    "base_model:Qwen/Qwen3.5-0.8B",
    "base_model:finetune:Qwen/Qwen3.5-0.8B",
    "license:apache-2.0",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1527860318,
  "widgetData": [
    {
      "text": "I like you. I love you"
    }
  ]
}
—
Task
task
Hugging Face modelstext-classification
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—

model

chaoliangUNSW/Jev-Style-0.8B-Decision-v3
zetlyn/models-hf · 2026-09-24
author chaoliangUNSW downloads 188 gated false licence apache-2.0 likes 3 task text-classification source
chaoliangUNSW/Jev-Style-0.8B-Decision-v3
zetlyn/models-hf · 2026-09-24
author chaoliangUNSW downloads 657 gated false licence apache-2.0 likes 4 task text-classification source

quantisation

chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF
zetlyn/models-gguf · 2026-09-24
author chaoliangUNSW base chaoliangUNSW/Jev-Style-0.8B-Decision-v3 downloads 1397 licence apache-2.0 likes 10 source