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--- |
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base_model: codellama/CodeLlama-70b-Instruct-hf |
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license: llama2 |
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model_creator: codellama |
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model_name: CodeLlama 70B Instruct |
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pipeline_tag: text-generation |
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quantized_by: Second State Inc. |
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language: |
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- code |
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tags: |
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- llama-2 |
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--- |
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<!-- header start --> |
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<!-- 200823 --> |
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://github.com/second-state/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> |
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<!-- header end --> |
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# CodeLlama-70b-Instruct-hf-GGUF |
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## Original Model |
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[codellama/CodeLlama-70b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf) |
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## Run with LlamaEdge |
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- LlamaEdge version: coming soon |
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- Prompt template |
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- Prompt type: `codellama-super-instruct` |
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- Prompt string |
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```text |
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<s>Source: system\n\n {system_prompt} <step> Source: user\n\n {user_message_1} <step> Source: assistant\n\n {ai_message_1} <step> Source: user\n\n {user_message_2} <step> Source: assistant\nDestination: user\n\n |
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``` |
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- Reverse prompt: `<step> Source: assistant\nEOT: true` |
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- Run as LlamaEdge service |
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```bash |
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeLlama-70b-Instruct-hf-Q2_K.gguf llama-api-server.wasm -p codellama-super-instruct -c 1024 --reverse-prompt 'Source: assistant\nEOT: true' |
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``` |
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**Note that the model only works in the non-streaming mode.** |
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## Quantized GGUF Models |
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| Name | Quant method | Bits | Size | Use case | |
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| ---- | ---- | ---- | ---- | ----- | |
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| [CodeLlama-70b-Instruct-hf-Q2_K.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q2_K.gguf) | Q2_K | 2 | 25.5 GB| smallest, significant quality loss - not recommended for most purposes | |
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| [CodeLlama-70b-Instruct-hf-Q3_K_L.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 36.1 GB| small, substantial quality loss | |
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| [CodeLlama-70b-Instruct-hf-Q3_K_M.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 33.3 GB| very small, high quality loss | |
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| [CodeLlama-70b-Instruct-hf-Q3_K_S.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 29.9 GB| very small, high quality loss | |
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| [CodeLlama-70b-Instruct-hf-Q5_K_M.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 48.8 GB| large, very low quality loss - recommended | |
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<!-- | [Yi-34B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q2_K.gguf) | Q2_K | 2 | 12.8 GB| smallest, significant quality loss - not recommended for most purposes | |
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| [Yi-34B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 18.1 GB| small, substantial quality loss | |
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| [Yi-34B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 16.7 GB| very small, high quality loss | |
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| [Yi-34B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 15.0 GB| very small, high quality loss | |
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| [Yi-34B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q4_0.gguf) | Q4_0 | 4 | 19.5 GB| legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [Yi-34B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 20.7 GB| medium, balanced quality - recommended | |
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| [Yi-34B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 19.6 GB| small, greater quality loss | |
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| [Yi-34B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q5_0.gguf) | Q5_0 | 5 | 23.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [Yi-34B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 24.3 GB| large, very low quality loss - recommended | |
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| [Yi-34B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 23.7 GB| large, low quality loss - recommended | |
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| [Yi-34B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q6_K.gguf) | Q6_K | 6 | 28.2 GB| very large, extremely low quality loss | |
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| [Yi-34B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q8_0.gguf) | Q8_0 | 8 | 36.5 GB| very large, extremely low quality loss - not recommended | --> |
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