--- language: - en license: llama2 tags: - facebook - meta - pytorch - llama - llama-2 model_name: Llama 2 13B Chat base_model: meta-llama/Llama-2-13b-chat-hf inference: false model_creator: Meta Llama 2 model_type: llama pipeline_tag: text-generation quantized_by: Second State Inc. ---

# Llama-2-13B-Chat-GGUF ## Original Model [meta-llama/Llama-2-13b-chat-hf](https://huggingface.co/meta-llama/Llama-2-13b-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 [INST] <> {{ system_prompt }} <> {{ user_msg_1 }} [/INST] {{ model_answer_1 }} [INST] {{ user_msg_2 }} [/INST] ``` - Context size: `5120` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-13b-chat-hf-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template llama-2-chat \ --ctx-size 5120 \ --model-name llama-2-13b-chat ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-2-13b-chat-hf-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template llama-2-chat \ --ctx-size 5120 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Llama-2-13b-chat-hf-Q2_K.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q2_K.gguf) | Q2_K | 2 | 5.43 GB| smallest, significant quality loss - not recommended for most purposes | | [Llama-2-13b-chat-hf-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 6.93 GB| small, substantial quality loss | | [Llama-2-13b-chat-hf-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 6.34 GB| very small, high quality loss | | [Llama-2-13b-chat-hf-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 5.66 GB| very small, high quality loss | | [Llama-2-13b-chat-hf-Q4_0.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q4_0.gguf) | Q4_0 | 4 | 7.37 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Llama-2-13b-chat-hf-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q4_K_M.gguf) | Q4_K_M | 4 | 7.87 GB| medium, balanced quality - recommended | | [Llama-2-13b-chat-hf-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q4_K_S.gguf) | Q4_K_S | 4 | 7.41 GB| small, greater quality loss | | [Llama-2-13b-chat-hf-Q5_0.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q5_0.gguf) | Q5_0 | 5 | 8.97 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Llama-2-13b-chat-hf-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 9.23 GB| large, very low quality loss - recommended | | [Llama-2-7b-chat-hf-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q5_K_S.gguf) | Q5_K_S | 5 | 8.97 GB| large, low quality loss - recommended | | [Llama-2-13b-chat-hf-Q6_K.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q6_K.gguf) | Q6_K | 6 | 10.7 GB| very large, extremely low quality loss | | [Llama-2-13b-chat-hf-Q8_0.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-Q8_0.gguf) | Q8_0 | 8 | 13.8 GB| very large, extremely low quality loss - not recommended | | [Llama-2-13b-chat-hf-f16.gguf](https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/blob/main/Llama-2-13b-chat-hf-f16.gguf) | f16 | 16 | 26 GB| |