68 lines
1.9 KiB
Markdown
68 lines
1.9 KiB
Markdown
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---
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license: other
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base_model: LiquidAI/LFM2.5-8B-A1B
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base_model_relation: quantized
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pipeline_tag: text-generation
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library_name: gguf
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tags:
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- gguf
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- ollama
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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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quantized_by: liodon-ai
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---
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# LFM2.5-8B-A1B — iMatrix GGUF
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GGUF quantizations of [LiquidAI/LFM2.5-8B-A1B](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B), 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/LFM2.5-8B-A1B-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/LFM2.5-8B-A1B-imatrix-GGUF:Q4_K_M
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```
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**LM Studio / Jan** — search `liodon-ai/LFM2.5-8B-A1B-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` | 2.84 GB | ~3 GB | 2-bit, iMatrix — smallest usable |
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| `IQ3_M` | 3.78 GB | ~4 GB | 3-bit, iMatrix — great quality/size tradeoff |
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| `IQ4_XS` | 4.59 GB | ~5 GB | 4-bit extra-small, iMatrix |
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| `Q4_K_M` | 5.16 GB | ~6 GB | 4-bit, iMatrix-calibrated (recommended) |
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| `Q5_K_M` | 6.03 GB | ~7 GB | 5-bit, iMatrix-calibrated |
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| `Q6_K` | 6.96 GB | ~8 GB | 6-bit, iMatrix-calibrated, near-lossless |
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| `Q8_0` | 9.01 GB | ~10 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/LFM2.5-8B-A1B-GGUF`
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## Source
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- **Model**: [LiquidAI/LFM2.5-8B-A1B](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B)
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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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