Alcoft/Qwen_Qwen3-1.7B-GGUF
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Qwen_Qwen3-1.7B-GGUF/README.md
ModelHub XC 558dc499d0 初始化项目，由ModelHub XC社区提供模型 
Model: Alcoft/Qwen_Qwen3-1.7B-GGUF
Source: Original Platform
2026-10-11 19:08:16 +08:00

4.4 KiB
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base_model, pipeline_tag
base_model pipeline_tag
Qwen/Qwen3-1.7B
text-generation
Quant Size Description
Q2_K 839.13 MB Not recommended for most people. Very low quality.
Q2_K_L 1.1 GB Not recommended for most people. Uses Q8_0 for output and embedding, and Q2_K for everything else. Very low quality.
Q2_K_XL 1.65 GB Not recommended for most people. Uses F16 for output and embedding, and Q2_K for everything else. Very low quality.
Q3_K_S 954.59 MB Not recommended for most people. Prefer any bigger Q3_K quantization. Low quality.
Q3_K_M 1023.52 MB Not recommended for most people. Low quality.
Q3_K_L 1.06 GB Not recommended for most people. Low quality.
Q3_K_XL 1.31 GB Not recommended for most people. Uses Q8_0 for output and embedding, and Q3_K_L for everything else. Low quality.
Q3_K_XXL 1.86 GB Not recommended for most people. Uses F16 for output and embedding, and Q3_K_L for everything else. Low quality.
Q4_K_S 1.15 GB Recommended. Slightly low quality.
Q4_K_M 1.19 GB Recommended. Decent quality for most use cases.
Q4_K_L 1.41 GB Recommended. Uses Q8_0 for output and embedding, and Q4_K_M for everything else. Decent quality.
Q4_K_XL 1.95 GB Recommended. Uses F16 for output and embedding, and Q4_K_M for everything else. Decent quality.
Q5_K_S 1.35 GB Recommended. High quality.
Q5_K_M 1.37 GB Recommended. High quality.
Q5_K_L 1.55 GB Recommended. Uses Q8_0 for output and embedding, and Q5_K_M for everything else. High quality.
Q5_K_XL 2.09 GB Recommended. Uses F16 for output and embedding, and Q5_K_M for everything else. High quality.
Q6_K 1.56 GB Recommended. Very high quality.
Q6_K_L 1.7 GB Recommended. Uses Q8_0 for output and embedding, and Q6_K for everything else. Very high quality.
Q6_K_XL 2.24 GB Recommended. Uses F16 for output and embedding, and Q6_K for everything else. Very high quality.
Q8_0 2.02 GB Recommended. Quality almost like F16.
Q8_K_XL 2.56 GB Recommended. Uses F16 for output and embedding, and Q8_0 for everything else. Quality almost like F16.
F16 3.79 GB Not recommended. Overkill. Prefer Q8_0.
ORIGINAL (BF16) 3.79 GB Not recommended. Overkill. Prefer Q8_0.

Quantized using TAO71-AI AutoQuantizer. You can check out the original model card here.