--- base_model: 01-ai/Yi-1.5-34B-Chat inference: false license: other license_link: LICENSE license_name: yi-license model_creator: 01-ai model_name: Yi-1.5-34B-Chat model_type: yi pipeline_tag: text-generation quantized_by: Second State Inc. ---

# Yi-1.5-34B-Chat-GGUF ## Original Model [01-ai/Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat) ## Run with LlamaEdge - LlamaEdge version: coming soon - Prompt template - Prompt type: `chatml` - Prompt string ```text <|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` - Reverse prompt: `<|im_end|>` - Context size: `7168` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-34B-Chat-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml \ --reverse-prompt "<|im_end|>" \ --ctx-size 7168 \ --model-name Yi-1.5-34B-Chat ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-34B-Chat-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --reverse-prompt "<|im_end|>" \ --ctx-size 7168 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Yi-1.5-34B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q2_K.gguf) | Q2_K | 2 |12.8 GB| smallest, significant quality loss - not recommended for most purposes | | [Yi-1.5-34B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 18.1 GB| small, substantial quality loss | | [Yi-1.5-34B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 16.7 GB| very small, high quality loss | | [Yi-1.5-34B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 15 GB| very small, high quality loss | | [Yi-1.5-34B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_0.gguf) | Q4_0 | 4 | 19.5 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Yi-1.5-34B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 20.7 GB| medium, balanced quality - recommended | | [Yi-1.5-34B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 19.6 GB| small, greater quality loss | | [Yi-1.5-34B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_0.gguf) | Q5_0 | 5 | 23.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Yi-1.5-34B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 23.4 GB| large, very low quality loss - recommended | | [Yi-1.5-34B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 23.7 GB| large, low quality loss - recommended | | [Yi-1.5-34B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q6_K.gguf) | Q6_K | 6 | 28.3 GB| very large, extremely low quality loss | | [Yi-1.5-34B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q8_0.gguf) | Q8_0 | 8 | 36.5 GB| very large, extremely low quality loss - not recommended | | [Yi-1.5-34B-Chat-f16-00001-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00001-of-00003.gguf) | f16 | 16 | 32.2 GB| | | [Yi-1.5-34B-Chat-f16-00002-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00002-of-00003.gguf) | f16 | 16 | 32.1 GB| | | [Yi-1.5-34B-Chat-f16-00003-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00003-of-00003.gguf) | f16 | 16 | 4.48 GB| | *Quantized with llama.cpp b3135*