---
title: DeepSeek-V2-Lite-gptq-4bit
canonical_url: "https://www.modelscope.cn/models/LLM-Research/DeepSeek-V2-Lite-gptq-4bit"
md_url: "https://www.modelscope.cn/models/LLM-Research/DeepSeek-V2-Lite-gptq-4bit.md"
repository: LLM-Research/DeepSeek-V2-Lite-gptq-4bit
last_updated: 2024-07-26
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - deepseek_v2
architectures:
  - DeepseekV2ForCausalLM
parameters: 2.5B
tensor_type:
  - I32
  - F16
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 3716
stars: 2
tags:
  - "deepseek v2"
  - gptq
  - 4bit
  - gptqmodel
---

# DeepSeek-V2-Lite-gptq-4bit

> DeepSeek-V2-Lite-gptq-4bit - LLM-Research 在 ModelScope 开源的模型。This model has been quantized using GPTQModel.

LLM-Research/DeepSeek-V2-Lite-gptq-4bit 是 ModelScope 魔搭社区上的 2.5B 参数text-generation模型，采用 apache-2.0 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: LLM-Research/DeepSeek-V2-Lite-gptq-4bit
- **License**: apache-2.0
- **Tasks**: text-generation
- **Parameters**: 2.5B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: deepseek v2, gptq, 4bit, gptqmodel
- **Downloads**: 3716
- **Stars**: 2
- **Last updated**: 2024-07-26

Source: https://www.modelscope.cn/models/LLM-Research/DeepSeek-V2-Lite-gptq-4bit

---

This model has been quantized using [GPTQModel](https://github.com/ModelCloud/GPTQModel).

- **bits**: 4
- **group_size**: 128
- **desc_act**: true
- **static_groups**: false
- **sym**: true
- **lm_head**: false
- **damp_percent**: 0.01
- **true_sequential**: true
- **model_name_or_path**: ""
- **model_file_base_name**: "model"
- **quant_method**: "gptq"
- **checkpoint_format**: "gptq"
- **meta**:
  - **quantizer**: "gptqmodel:0.9.3"