Bwindi/CrawLM

hf Bwindi/CrawLM 2 sources, 3 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
not compared		GGUF quantisationsmradermacher
receipt
Source
GGUF quantisations
Its words
mradermacher
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
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  ]
}
—
Author
author
not compared		Hugging Face modelsBwindi
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 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 quantisationsBwindi/CrawLM
receipt
Source
GGUF quantisations
Its words
Bwindi/CrawLM
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
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}
—
Downloads
downloads
not compared		GGUF quantisations737
receipt
Source
GGUF quantisations
Its words
737
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
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}
—
Downloads
downloads
not compared		Hugging Face models491
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 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		534
receipt
Source
Hugging Face models
Its words
534
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-04 12:16 UTC534
2026-10-03 12:09 UTC528
2026-10-02 12:02 UTC525
What the source handed over
{
  "_asked": "Bwindi/CrawLM",
  "_id": "6aa33b79f21caeeda7391e9d",
  "author": "Bwindi",
  "cardData": {
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  "config": {
    "architectures": [
      "LlamaForCausalLM"
    ],
    "chat_template_jinja": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- if strftime_now is defined %}\n        {%- set date_string = strftime_now(\"%d %b %Y\") %}\n    {%- else %}\n        {%- set date_string = \"26 Jul 2024\" %}\n    {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n        {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n        {{- '\"parameters\": ' }}\n        {{- tool_call.arguments | tojson }}\n        {{- \"}\" }}\n        {{- \"<|eot_id|>\" }}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
    "model_type": "llama",
    "tokenizer_config": {
      "bos_token": "<|begin_of_text|>",
      "eos_token": "<|eot_id|>",
      "pad_token": "<|eot_id|>"
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  "disabled": false,
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  "likes": 1,
  "model-index": null,
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  "pipeline_tag": "text-generation",
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  "safetensors": {
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      "F16": 3212749824
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  "sha": "fff35dc1a082fc722b036bbcc359cea5cb7815ed",
  "siblings": [
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  "spaces": [
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    "Hassan145/bwindi-slm-api"
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  "tags": [
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  "transformersInfo": {
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    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
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  "usedStorage": 12868267443,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 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 quantisations0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa3e24214ecfaf878265792",
  "author": "mradermacher",
  "cardData": {
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    "quantized_by": "mradermacher",
    "tags": []
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  "downloads": 737,
  "gated": false,
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    "endpoints_compatible",
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}
—
Likes
likes
not compared		Hugging Face models0
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 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		1
receipt
Source
Hugging Face models
Its words
1
Read by
field:likes
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-03 00:06 UTC1
2026-10-02 12:02 UTC0
What the source handed over
{
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      "LlamaForCausalLM"
    ],
    "chat_template_jinja": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- if strftime_now is defined %}\n        {%- set date_string = strftime_now(\"%d %b %Y\") %}\n    {%- else %}\n        {%- set date_string = \"26 Jul 2024\" %}\n    {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n        {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n        {{- '\"parameters\": ' }}\n        {{- tool_call.arguments | tojson }}\n        {{- \"}\" }}\n        {{- \"<|eot_id|>\" }}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
    "model_type": "llama",
    "tokenizer_config": {
      "bos_token": "<|begin_of_text|>",
      "eos_token": "<|eot_id|>",
      "pad_token": "<|eot_id|>"
    }
  },
  "createdAt": "2026-09-10T23:21:29.000Z",
  "disabled": false,
  "downloads": 534,
  "gated": false,
  "id": "Bwindi/CrawLM",
  "lastModified": "2026-09-10T23:45:55.000Z",
  "library_name": "transformers",
  "likes": 1,
  "model-index": null,
  "modelId": "Bwindi/CrawLM",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 3212749824
    },
    "total": 3212749824
  },
  "sha": "fff35dc1a082fc722b036bbcc359cea5cb7815ed",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model-00001-of-00004.safetensors"
    },
    {
      "rfilename": "model-00002-of-00004.safetensors"
    },
    {
      "rfilename": "model-00003-of-00004.safetensors"
    },
    {
      "rfilename": "model-00004-of-00004.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "zerothvictor/CrawLM-Playground",
    "Hassan145/bwindi-slm-api"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "llama",
    "text-generation",
    "conversational",
    "arxiv:1910.09700",
    "text-generation-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 12868267443,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Task
task
Hugging Face modelstext-generation
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 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

Bwindi/CrawLM
zetlyn/models-hf · 2026-09-10
author Bwindi downloads 491 gated false likes 0 task text-generation source
Bwindi/CrawLM
zetlyn/models-hf · 2026-09-10
author Bwindi downloads 534 gated false likes 1 task text-generation source

quantisation

mradermacher/bwindi-llama-3.2-3b-GGUF
zetlyn/models-gguf · 2026-09-11
author mradermacher base Bwindi/CrawLM downloads 737 likes 0 source