QuantTrio
/

DeepSeek-V3.1-AWQ-Lite

@@ -1,279 +0,0 @@
----
-license: mit
-library_name: transformers
-pipeline_tag: text-generation
-tags:
-- vLLM
-- AWQ
-language:
-- zh
-- en
-base_model:
-  - deepseek-ai/DeepSeek-V3.1
-base_model_relation: quantized
----
-# DeepSeek-V3.1-AWQ-Lite
-Base model: [DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1)
-### 【Dependencies / Installation】
-As of **2025-08-28**, create a fresh Python environment and run:
-```bash
-# ❗there are glitches with vllm 0.10.1.1, still looking for resolutions❗
-# ❗downgrade vllm for now ❗
-pip install vllm==0.9.2 transformers==4.53.0
-SITE_PACKAGES=$(pip -V | awk '{print $4}' | sed 's/\/pip$//')
-# ❗patch up AWQ MoE quant config, otherwise some modules cannot be properly loaded❗
-cp awq_marlin.py "$SITE_PACKAGES/vllm/model_executor/layers/quantization/awq_marlin.py"
-# ❗patch up for fp32 e_score_correction_bias, see https://www.github.com/vllm-project/vllm/pull/23640❗
-cp deepseek_v2.py "$SITE_PACKAGES/vllm/model_executor/models/deepseek_v2.py"
-```
-### 【vLLM Single Node with 8 GPUs — Startup Command】
-```
-CONTEXT_LENGTH=32768
-vllm serve \
-    QuantTrio/DeepSeek-V3.1-AWQ-Lite \
-    --served-model-name DeepSeek-V3.1-AWQ-Lite \
-    --swap-space 16 \
-    --max-num-seqs 512 \
-    --max-model-len $CONTEXT_LENGTH \
-    --max-seq-len-to-capture $CONTEXT_LENGTH \
-    --gpu-memory-utilization 0.8 \
-    --tensor-parallel-size 8 \
-    --trust-remote-code \
-    --disable-log-requests \
-    --host 0.0.0.0 \
-    --port 8000
-```
-### 【Logs】
-```
-2025-08-28
-1. Initial commit
-```
-### 【Model Files】
-| File Size | Last Updated |
-|-----------|--------------|
-| `337GB`   | `2025-08-28` |
-### 【Model Download】
-```python
-from huggingface_hub import snapshot_download
-snapshot_download('QuantTrio/DeepSeek-V3.1-AWQ-Lite', cache_dir="your_local_path")
-```
-### 【Overview】
-<div align="center">
-  <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
-</div>
-<hr>
-<div align="center" style="line-height: 1;">
-  <a href="https://www.deepseek.com/" target="_blank" style="margin: 2px;">
-    <img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-  <a href="https://chat.deepseek.com/" target="_blank" style="margin: 2px;">
-    <img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-DeepSeek%20V3-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-  <a href="https://huggingface.co/deepseek-ai" target="_blank" style="margin: 2px;">
-    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-</div>
-<div align="center" style="line-height: 1;">
-  <a href="https://discord.gg/Tc7c45Zzu5" target="_blank" style="margin: 2px;">
-    <img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-  <a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/qr.jpeg?raw=true" target="_blank" style="margin: 2px;">
-    <img alt="Wechat" src="https://img.shields.io/badge/WeChat-DeepSeek%20AI-brightgreen?logo=wechat&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-  <a href="https://twitter.com/deepseek_ai" target="_blank" style="margin: 2px;">
-    <img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-</div>
-<div align="center" style="line-height: 1;">
-  <a href="LICENSE" style="margin: 2px;">
-    <img alt="License" src="https://img.shields.io/badge/License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
-  </a>
-</div>
-## Introduction
-DeepSeek-V3.1 is a hybrid model that supports both thinking mode and non-thinking mode. Compared to the previous version, this upgrade brings improvements in multiple aspects:
-- **Hybrid thinking mode**: One model supports both thinking mode and non-thinking mode by changing the chat template.
-- **Smarter tool calling**: Through post-training optimization, the model's performance in tool usage and agent tasks has significantly improved.
-- **Higher thinking efficiency**: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly.
-DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.
-## Model Downloads
-<div align="center">
-| **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** |
-| :------------: | :------------: | :------------: | :------------: | :------------: |
-| DeepSeek-V3.1-Base | 671B | 37B | 128K | [HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base) \| [ModelScope](https://modelscope.cn/models/deepseek-ai/DeepSeek-V3.1-Base) |
-| DeepSeek-V3.1 | 671B | 37B | 128K | [HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) \| [ModelScope](https://modelscope.cn/models/deepseek-ai/DeepSeek-V3.1) |
-</div>
-## Chat Template
-The details of our chat template is described in `tokenizer_config.json` and `assets/chat_template.jinja`. Here is a brief description.
-### Non-Thinking
-#### First-Turn
-Prefix:
-`<｜begin▁of▁sentence｜>{system prompt}<｜User｜>{query}<｜Assistant｜></think>`
-With the given prefix, DeepSeek V3.1 generates responses to queries in non-thinking mode. Unlike DeepSeek V3,  it introduces an additional token `</think>`.
-#### Multi-Turn
-Context:
-`<｜begin▁of▁sentence｜>{system prompt}<｜User｜>{query}<｜Assistant｜></think>{response}<｜end▁of▁sentence｜>...<｜User｜>{query}<｜Assistant｜></think>{response}<｜end▁of▁sentence｜>`
-Prefix:
-`<｜User｜>{query}<｜Assistant｜></think>`
-By concatenating the context and the prefix, we obtain the correct prompt for the query.
-### Thinking
-#### First-Turn
-Prefix:
-`<｜begin▁of▁sentence｜>{system prompt}<｜User｜>{query}<｜Assistant｜><think>`
-The prefix of thinking mode is similar to DeepSeek-R1.
-#### Multi-Turn
-Context:
-`<｜begin▁of▁sentence｜>{system prompt}<｜User｜>{query}<｜Assistant｜></think>{response}<｜end▁of▁sentence｜>...<｜User｜>{query}<｜Assistant｜></think>{response}<｜end▁of▁sentence｜>`
-Prefix:
-`<｜User｜>{query}<｜Assistant｜><think>`
-The multi-turn template is the same with non-thinking multi-turn chat template. It means the thinking token in the last turn will be dropped but the `</think>` is retained in every turn of context.
-### ToolCall
-Toolcall is supported in non-thinking mode. The format is:
-`<｜begin▁of▁sentence｜>{system prompt}{tool_description}<｜User｜>{query}<｜Assistant｜></think>` where the tool_description is
-```
-## Tools
-You have access to the following tools:
-### {tool_name1}
-Description: {description}
-Parameters: {json.dumps(parameters)}
-IMPORTANT: ALWAYS adhere to this exact format for tool use:
-<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>tool_call_name<｜tool▁sep｜>tool_call_arguments<｜tool▁call▁end｜>{{additional_tool_calls}}<｜tool▁calls▁end｜>
-Where:
-- `tool_call_name` must be an exact match to one of the available tools
-- `tool_call_arguments` must be valid JSON that strictly follows the tool's Parameters Schema
-- For multiple tool calls, chain them directly without separators or spaces
-```
-### Code-Agent
-We support various code agent frameworks. Please refer to the above toolcall format to create your own code agents. An example is shown in `assets/code_agent_trajectory.html`.
-### Search-Agent
-We design a specific format for searching toolcall in thinking mode, to support search agent.
-For complex questions that require accessing external or up-to-date information, DeepSeek-V3.1 can leverage a user-provided search tool through a multi-turn tool-calling process.
-Please refer to the `assets/search_tool_trajectory.html` and `assets/search_python_tool_trajectory.html` for the detailed template.
-## Evaluation
-| Category | Benchmark (Metric)              | DeepSeek V3.1-NonThinking | DeepSeek V3 0324 | DeepSeek V3.1-Thinking     | DeepSeek R1 0528
-|----------|----------------------------------|-----------------|---|---|---|
-| General  |
-|          | MMLU-Redux (EM)              | 91.8     | 90.5    | 93.7          | 93.4
-|          | MMLU-Pro (EM)                  | 83.7  | 81.2    | 84.8          | 85.0
-|          | GPQA-Diamond (Pass@1)           | 74.9   | 68.4   | 80.1            | 81.0
-|          | Humanity's Last Exam (Pass@1)   | -    |       -            | 15.9         | 17.7
-|Search Agent|
-|          | BrowseComp       | -      | -  | 30.0 | 8.9
-|          | BrowseComp_zh       | -     | -  | 49.2      | 35.7
-|          | Humanity's Last Exam (Python + Search)      |-   | -    | 29.8         | 24.8
-|          | SimpleQA             | -      | -    | 93.4  | 92.3
-| Code |
-|          | LiveCodeBench (2408-2505) (Pass@1)     | 56.4    | 43.0    | 74.8          | 73.3
-|          | Codeforces-Div1 (Rating)        | -   | -    | 2091            | 1930
-|          | Aider-Polyglot (Acc.)           | 68.4    | 55.1   | 76.3           | 71.6
-| Code Agent|
-|          | SWE Verified (Agent mode)           | 66.0       | 45.4  | -    | 44.6
-|          | SWE-bench Multilingual (Agent mode)         | 54.5    | 29.3   | -            | 30.5
-|          | Terminal-bench (Terminus 1 framework)       | 31.3     | 13.3      | -         | 5.7
-| Math |
-|          | AIME 2024 (Pass@1)                | 66.3     | 59.4     | 93.1      | 91.4
-|          | AIME 2025 (Pass@1)                     | 49.8  | 51.3 | 88.4          | 87.5
-|          | HMMT 2025 (Pass@1)        | 33.5    | 29.2   | 84.2 | 79.4 |
-Note:
-- Search agents are evaluated with our internal search framework, which uses a commercial search API + webpage filter + 128K context window. Seach agent results of R1-0528 are evaluated with a pre-defined workflow.
-- SWE-bench is evaluated with our internal code agent framework.
-- HLE is evaluated with the text-only subset.
-### Usage Example
-```python
-import transformers
-tokenizer = transformers.AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-V3.1")
-messages = [
-    {"role": "system", "content": "You are a helpful assistant"},
-    {"role": "user", "content": "Who are you?"},
-    {"role": "assistant", "content": "<think>Hmm</think>I am DeepSeek"},
-    {"role": "user", "content": "1+1=?"}
-]
-tokenizer.apply_chat_template(messages, tokenize=False, thinking=True, add_generation_prompt=True)
-# '<｜begin▁of▁sentence｜>You are a helpful assistant<｜User｜>Who are you?<｜Assistant｜></think>I am DeepSeek<｜end▁of▁sentence｜><｜User｜>1+1=?<｜Assistant｜><think>'
-tokenizer.apply_chat_template(messages, tokenize=False, thinking=False, add_generation_prompt=True)
-# '<｜begin▁of▁sentence｜>You are a helpful assistant<｜User｜>Who are you?<｜Assistant｜></think>I am DeepSeek<｜end▁of▁sentence｜><｜User｜>1+1=?<｜Assistant｜></think>'
-```
-## How to Run Locally
-The model structure of DeepSeek-V3.1 is the same as DeepSeek-V3. Please visit [DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) repo for more information about running this model locally.
-## License
-This repository and the model weights are licensed under the [MIT License](LICENSE).
-## Citation
-```
-@misc{deepseekai2024deepseekv3technicalreport,
-      title={DeepSeek-V3 Technical Report},
-      author={DeepSeek-AI},
-      year={2024},
-      eprint={2412.19437},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2412.19437},
-}
-```
-## Contact
-If you have any questions, please raise an issue or contact us at [[email protected]]([email protected]).