Octopus-v2-2B-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.8.1 and above
Prompt template
Prompt type:
octopus
Prompt string
{system_prompt}\n\nQuery: {input_text} \n\nResponse:
Context size:
2048
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Octopus-v2-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template octopus \ --ctx-size 2048 \ --model-name octopus-v2
Example of a user request in json format:
{ "messages": [ { "role": "system", "content": "Below is the query from the users, please call the correct function and generate the parameters to call the function." }, { "role": "user", "content": "Take a selfie for me with front camera" } ], "model": "octopus-v2", "stream": false }
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Octopus-v2-Q2_K.gguf | Q2_K | 2 | 1.16 GB | smallest, significant quality loss - not recommended for most purposes |
Octopus-v2-Q3_K_L.gguf | Q3_K_L | 3 | 1.47 GB | small, substantial quality loss |
Octopus-v2-Q3_K_M.gguf | Q3_K_M | 3 | 1.38 GB | very small, high quality loss |
Octopus-v2-Q3_K_S.gguf | Q3_K_S | 3 | 1.29 GB | very small, high quality loss |
Octopus-v2-Q4_0.gguf | Q4_0 | 4 | 1.55 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Octopus-v2-Q4_K_M.gguf | Q4_K_M | 4 | 1.63 GB | medium, balanced quality - recommended |
Octopus-v2-Q4_K_S.gguf | Q4_K_S | 4 | 1.56 GB | small, greater quality loss |
Octopus-v2-Q5_0.gguf | Q5_0 | 5 | 1.8 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Octopus-v2-Q5_K_M.gguf | Q5_K_M | 5 | 1.84 GB | large, very low quality loss - recommended |
Octopus-v2-Q5_K_S.gguf | Q5_K_S | 5 | 1.8 GB | large, low quality loss - recommended |
Octopus-v2-Q6_K.gguf | Q6_K | 6 | 2.06 GB | very large, extremely low quality loss |
Octopus-v2-Q8_0.gguf | Q8_0 | 8 | 2.67 GB | very large, extremely low quality loss - not recommended |
Octopus-v2-f16.gguf | f16 | 16 | 10 GB |
Quantized with llama.cpp b2589
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