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Model: ramgpt/jan-nano-4b-gptqmodel-4bit
Source: Original Platform
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2026-10-08 10:51:27 +08:00
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---
license: apache-2.0
tags:
- gptq
- quantization
- vllm
- text-generation
- transformer
inference: false
library_name: vllm
model_creator: menlo
base_model: Menlo/Jan-nano
---
# Jan-nano GPTQ 4bit (vLLM-ready)
This is a 4-bit GPTQ quantized version of [Menlo/Jan-nano](https://huggingface.co/Menlo/Jan-nano), optimized for fast inference with [vLLM](https://github.com/vllm-project/vllm).
- **Quantization**: GPTQ (4-bit)
- **Group size**: 128
- **Dtype**: float16
- **Backend**: `gptqmodel`
- **Max context length**: 4096 tokens
---
## 🔧 Usage with vLLM
```bash
vllm serve ./jan-nano-4b-gptqmodel-4bit \
--quantization gptq \
--dtype half \
--max-model-len 4096
```
---
## 📁 Files
- Sharded `.safetensors` model weights
- `model.safetensors.index.json`
- `tokenizer.json`, `tokenizer_config.json`
- `config.json`, `generation_config.json`, `quantize_config.json` (if available)
---
## 🙏 Credits
- Original model by [Menlo](https://huggingface.co/Menlo)
- Quantized and shared by [ramgpt](https://huggingface.co/ramgpt)

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{
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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2560,
"initializer_range": 0.02,
"intermediate_size": 9728,
"max_position_embeddings": 40960,
"max_window_layers": 36,
"model_type": "qwen3",
"num_attention_heads": 32,
"num_hidden_layers": 36,
"num_key_value_heads": 8,
"quantization_config": {
"bits": 4,
"checkpoint_format": "gptq",
"desc_act": true,
"group_size": 128,
"lm_head": false,
"meta": {
"damp_auto_increment": 0.01,
"damp_percent": 0.05,
"mse": 0.0,
"quantizer": [
"gptqmodel:4.0.0-dev"
],
"static_groups": false,
"true_sequential": true,
"uri": "https://github.com/modelcloud/gptqmodel",
"v2": false,
"v2_alpha": 0.25
},
"pack_dtype": "int32",
"quant_method": "gptq",
"sym": true
},
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.51.3",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

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{
"_from_model_config": true,
"bos_token_id": 151643,
"eos_token_id": 151645,
"transformers_version": "4.51.3",
"use_cache": false
}

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{
"bits": 4,
"group_size": 128,
"desc_act": true,
"sym": true,
"lm_head": false,
"quant_method": "gptq",
"checkpoint_format": "gptq",
"pack_dtype": "int32",
"meta": {
"quantizer": [
"gptqmodel:4.0.0-dev"
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"uri": "https://github.com/modelcloud/gptqmodel",
"damp_percent": 0.05,
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"static_groups": false,
"true_sequential": true,
"mse": 0.0,
"v2": false,
"v2_alpha": 0.25
}
}

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{
"additional_special_tokens": [
"<|im_start|>",
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"single_word": false
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"pad_token": "<unk>"
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"chat_template": "{%- 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 message.content is string 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.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\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 {%- 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 {{- 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<think>\\n\\n</think>\\n\\n' }}\n{%- endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
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"max_length": null,
"model_max_length": 131072,
"pad_to_multiple_of": null,
"pad_token": "<unk>",
"pad_token_type_id": 0,
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2TokenizerFast",
"unk_token": null,
"_commit_hash": null
}

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