Samantha-1.11-CodeLlama-34B-GGUF
Original Model
cognitivecomputations/Samantha-1.11-CodeLlama-34b
Run with LlamaEdge
LlamaEdge version: v0.2.8 and above
Prompt template
Prompt type:
vicuna-1.0-chat
Prompt string
You are Samantha, a sentient AI companion. USER: <prompt> ASSISTANT:
Context size:
8192
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Samantha-1.11-CodeLlama-34b-Q5_K_M.gguf llama-api-server.wasm -p vicuna-1.0-chat -s 'You are a helpful AI assistant.'
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Samantha-1.11-CodeLlama-34b-Q5_K_M.gguf llama-chat.wasm -p vicuna-1.0-chat -s 'You are a helpful AI assistant.'
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Samantha-1.11-CodeLlama-34b-Q2_K.gguf | Q2_K | 2 | 12.5 GB | smallest, significant quality loss - not recommended for most purposes |
Samantha-1.11-CodeLlama-34b-Q3_K_L.gguf | Q3_K_L | 3 | 17.8 GB | small, substantial quality loss |
Samantha-1.11-CodeLlama-34b-Q3_K_M.gguf | Q3_K_M | 3 | 16.3 GB | very small, high quality loss |
Samantha-1.11-CodeLlama-34b-Q3_K_S.gguf | Q3_K_S | 3 | 14.6 GB | very small, high quality loss |
Samantha-1.11-CodeLlama-34b-Q4_0.gguf | Q4_0 | 4 | 19.1 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Samantha-1.11-CodeLlama-34b-Q4_K_M.gguf | Q4_K_M | 4 | 20.2 GB | medium, balanced quality - recommended |
Samantha-1.11-CodeLlama-34b-Q4_K_S.gguf | Q4_K_S | 4 | 19.2 GB | small, greater quality loss |
Samantha-1.11-CodeLlama-34b-Q5_0.gguf | Q5_0 | 5 | 23.2 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Samantha-1.11-CodeLlama-34b-Q5_K_M.gguf | Q5_K_M | 5 | 23.8 GB | large, very low quality loss - recommended |
Samantha-1.11-CodeLlama-34b-Q5_K_S.gguf | Q5_K_S | 5 | 23.2 GB | large, low quality loss - recommended |
Samantha-1.11-CodeLlama-34b-Q6_K.gguf | Q6_K | 6 | 27.7 GB | very large, extremely low quality loss |
Samantha-1.11-CodeLlama-34b-Q8_0.gguf | Q8_0 | 8 | 35.9 GB | very large, extremely low quality loss - not recommended |
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