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---
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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<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/second-state/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
# 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/second-state/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]
```
- 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 -p llama-2-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 -p llama-2-chat
```
## 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 |
|