Qwen1.5-7B-Chat-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.2.15 and above
Prompt template
Prompt type:
chatml
Prompt string
<|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant
Context size:
32000
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-7B-Chat-Q5_K_M.gguf llama-api-server.wasm -p chatml
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-7B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Qwen1.5-7B-Chat-Q2_K.gguf | Q2_K | 2 | 3.10 GB | smallest, significant quality loss - not recommended for most purposes |
Qwen1.5-7B-Chat-Q3_K_L.gguf | Q3_K_L | 3 | 4.22 GB | small, substantial quality loss |
Qwen1.5-7B-Chat-Q3_K_M.gguf | Q3_K_M | 3 | 3.92 GB | very small, high quality loss |
Qwen1.5-7B-Chat-Q3_K_S.gguf | Q3_K_S | 3 | 3.57 GB | very small, high quality loss |
Qwen1.5-7B-Chat-Q4_0.gguf | Q4_0 | 4 | 4.51 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Qwen1.5-7B-Chat-Q4_K_M.gguf | Q4_K_M | 4 | 4.77 GB | medium, balanced quality - recommended |
Qwen1.5-7B-Chat-Q4_K_S.gguf | Q4_K_S | 4 | 4.54 GB | small, greater quality loss |
Qwen1.5-7B-Chat-Q5_0.gguf | Q5_0 | 5 | 5.40 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Qwen1.5-7B-Chat-Q5_K_M.gguf | Q5_K_M | 5 | 5.53 GB | large, very low quality loss - recommended |
Qwen1.5-7B-Chat-Q5_K_S.gguf | Q5_K_S | 5 | 5.4 GB | large, low quality loss - recommended |
Qwen1.5-7B-Chat-Q6_K.gguf | Q6_K | 6 | 6.34 GB | very large, extremely low quality loss |
Qwen1.5-7B-Chat-Q8_0.gguf | Q8_0 | 8 | 8.21 GB | very large, extremely low quality loss - not recommended |
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Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for second-state/Qwen1.5-7B-Chat-GGUF
Base model
Qwen/Qwen1.5-7B-Chat