commit 2b3069120d8be23b2ede40b49e158b45f42d2456 Author: ModelHub XC Date: Sat Aug 8 00:57:18 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..55d34ec --- /dev/null +++ b/.gitattributes @@ -0,0 +1,42 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs 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llama.cpp +- lm-studio +- quantized +- imatrix +- sub-4-bit +- qwen2 +- base_model:Qwen/Qwen2.5-14B-Instruct +--- + +# Qwen2.5-14B-Instruct — iMatrix GGUF + +GGUF imatrix quantizations of [unsloth/Qwen2.5-14B-Instruct](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct), published by [Liodon AI](https://huggingface.co/liodon-ai). + +## Quick Start + +**llama.cpp** +```bash +llama-cli -hf liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF:Q4_K_M +``` + +**Ollama** +```bash +ollama run hf.co/liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF:Q4_K_M +``` + +**LM Studio / Jan** — search `liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF` and pick your quant. + +## Quants + +| Quant | Size | VRAM est. | Notes | +|-------|------|-----------|-------| +| `IQ2_M` | 5.36 GB | ~6 GB | 2-bit, iMatrix — smallest usable | +| `IQ3_M` | 6.92 GB | ~8 GB | 3-bit, iMatrix — great quality/size tradeoff | +| `IQ4_XS` | 8.12 GB | ~9 GB | 4-bit extra-small, iMatrix | +| `Q4_K_M` | 8.99 GB | ~10 GB | 4-bit, iMatrix-calibrated (recommended) | +| `Q5_K_M` | 10.51 GB | ~12 GB | 5-bit, iMatrix-calibrated | +| `Q6_K` | 12.12 GB | ~14 GB | 6-bit, iMatrix-calibrated, near-lossless | +| `Q8_0` | 15.70 GB | ~18 GB | 8-bit, essentially lossless | + + +## What is iMatrix? + +Standard quantization treats all weights equally. iMatrix runs 128 calibration chunks through +the full-precision model to find which weights matter most, then allocates more precision where +it counts. At Q2/Q3/Q4 this means noticeably better coherence and instruction-following — +**same file size, better output**. + +Calibration: 2M tokens of [WikiText-103](https://huggingface.co/datasets/wikitext). + +> Also see plain (non-iMatrix) quants: `liodon-ai/Qwen2.5-14B-Instruct-GGUF` + +## Source + +- **Model**: [unsloth/Qwen2.5-14B-Instruct](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct) +- **License**: other + +--- +*Quantized by [Liodon AI](https://huggingface.co/liodon-ai)*