66 lines
2.0 KiB
Markdown
66 lines
2.0 KiB
Markdown
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---
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license: other
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base_model: unsloth/Qwen2.5-14B-Instruct
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pipeline_tag: text-generation
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tags:
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- gguf
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- local-llm
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- llama.cpp
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- lm-studio
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- quantized
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- imatrix
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- sub-4-bit
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- qwen2
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- base_model:Qwen/Qwen2.5-14B-Instruct
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---
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# Qwen2.5-14B-Instruct — iMatrix GGUF
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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).
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## Quick Start
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**llama.cpp**
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```bash
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llama-cli -hf liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF:Q4_K_M
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```
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**Ollama**
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```bash
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ollama run hf.co/liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF:Q4_K_M
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```
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**LM Studio / Jan** — search `liodon-ai/Qwen2.5-14B-Instruct-imatrix-GGUF` and pick your quant.
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## Quants
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| Quant | Size | VRAM est. | Notes |
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|-------|------|-----------|-------|
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| `IQ2_M` | 5.36 GB | ~6 GB | 2-bit, iMatrix — smallest usable |
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| `IQ3_M` | 6.92 GB | ~8 GB | 3-bit, iMatrix — great quality/size tradeoff |
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| `IQ4_XS` | 8.12 GB | ~9 GB | 4-bit extra-small, iMatrix |
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| `Q4_K_M` | 8.99 GB | ~10 GB | 4-bit, iMatrix-calibrated (recommended) |
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| `Q5_K_M` | 10.51 GB | ~12 GB | 5-bit, iMatrix-calibrated |
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| `Q6_K` | 12.12 GB | ~14 GB | 6-bit, iMatrix-calibrated, near-lossless |
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| `Q8_0` | 15.70 GB | ~18 GB | 8-bit, essentially lossless |
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## What is iMatrix?
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Standard quantization treats all weights equally. iMatrix runs 128 calibration chunks through
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the full-precision model to find which weights matter most, then allocates more precision where
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it counts. At Q2/Q3/Q4 this means noticeably better coherence and instruction-following —
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**same file size, better output**.
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Calibration: 2M tokens of [WikiText-103](https://huggingface.co/datasets/wikitext).
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> Also see plain (non-iMatrix) quants: `liodon-ai/Qwen2.5-14B-Instruct-GGUF`
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## Source
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- **Model**: [unsloth/Qwen2.5-14B-Instruct](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct)
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- **License**: other
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---
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*Quantized by [Liodon AI](https://huggingface.co/liodon-ai)*
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