CodeLlama-70b-Instruct-hf-GGUF
Original Model
codellama/CodeLlama-70b-Instruct-hf
Run with LlamaEdge
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LlamaEdge version: v0.2.11 and above
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Prompt template
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Prompt type:
codellama-super-instruct -
Prompt string
<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 -
Reverse prompt:
<step> Source: assistant\nEOT: true
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Context size:
8192 -
Run as LlamaEdge service
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'Note that the model only works in the non-streaming mode.
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| CodeLlama-70b-Instruct-hf-Q2_K.gguf | Q2_K | 2 | 25.5 GB | smallest, significant quality loss - not recommended for most purposes |
| CodeLlama-70b-Instruct-hf-Q3_K_L.gguf | Q3_K_L | 3 | 36.1 GB | small, substantial quality loss |
| CodeLlama-70b-Instruct-hf-Q3_K_M.gguf | Q3_K_M | 3 | 33.3 GB | very small, high quality loss |
| CodeLlama-70b-Instruct-hf-Q3_K_S.gguf | Q3_K_S | 3 | 29.9 GB | very small, high quality loss |
| CodeLlama-70b-Instruct-hf-Q4_0.gguf | Q4_0 | 4 | 38.9 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| CodeLlama-70b-Instruct-hf-Q4_K_M.gguf | Q4_K_M | 4 | 41.4 GB | medium, balanced quality - recommended |
| CodeLlama-70b-Instruct-hf-Q4_K_S.gguf | Q4_K_S | 4 | 39.2 GB | small, greater quality loss |
| CodeLlama-70b-Instruct-hf-Q5_0.gguf | Q5_0 | 5 | 47.5 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| CodeLlama-70b-Instruct-hf-Q5_K_M.gguf | Q5_K_M | 5 | 48.8 GB | large, very low quality loss - recommended |
| CodeLlama-70b-Instruct-hf-Q5_K_S.gguf | Q5_K_S | 5 | 47.5 GB | large, low quality loss - recommended |