README.md

---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B Chat
arxiv: 2307.09288
base_model: meta-llama/Llama-2-7b-chat-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
---

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# Llama-2-7B-Chat-GGUF

## Original Model

[meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above

- Prompt template

  - Prompt type: `llama-2-chat`

  - Prompt string

    ```text
    <s>[INST] <<SYS>>
    {{ system_prompt }}
    <</SYS>>

    {{ user_msg_1 }} [/INST] {{ model_answer_1 }} </s><s>[INST] {{ user_msg_2 }}   [/INST]
    ```

- Context size: `4096`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-7b-chat-hf-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template llama-2-chat \
    --ctx-size 4096 \
    --model-name llama-2-7b-chat
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-7b-chat-hf-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template llama-2-chat \
    --ctx-size 4096
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Llama-2-7b-chat-hf-Q2_K.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q2_K.gguf)     | Q2_K   | 2 | 2.83 GB| smallest, significant quality loss - not recommended for most purposes |
| [Llama-2-7b-chat-hf-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 3.6 GB| small, substantial quality loss |
| [Llama-2-7b-chat-hf-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 3.3 GB| very small, high quality loss |
| [Llama-2-7b-chat-hf-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 2.95 GB| very small, high quality loss |
| [Llama-2-7b-chat-hf-Q4_0.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_0.gguf)     | Q4_0   | 4 | 3.83 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Llama-2-7b-chat-hf-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_K_M.gguf) | Q4_K_M | 4 | 4.08 GB| medium, balanced quality - recommended |
| [Llama-2-7b-chat-hf-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q4_K_S.gguf) | Q4_K_S | 4 | 3.86 GB| small, greater quality loss |
| [Llama-2-7b-chat-hf-Q5_0.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_0.gguf)     | Q5_0   | 5 | 4.65 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Llama-2-7b-chat-hf-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 4.78 GB| large, very low quality loss - recommended |
| [Llama-2-7b-chat-hf-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q5_K_S.gguf) | Q5_K_S | 5 | 4.65 GB| large, low quality loss - recommended |
| [Llama-2-7b-chat-hf-Q6_K.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q6_K.gguf)     | Q6_K   | 6 | 5.53 GB| very large, extremely low quality loss |
| [Llama-2-7b-chat-hf-Q8_0.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-Q8_0.gguf)     | Q8_0   | 8 | 7.16 GB| very large, extremely low quality loss - not recommended |
| [Llama-2-7b-chat-hf-f16.gguf](https://huggingface.co/second-state/Llama-2-7B-Chat-GGUF/blob/main/Llama-2-7b-chat-hf-f16.gguf)     | f16   | 16 | 13.5 GB|  |