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liodon-ai/zephyr-7b-alpha-imatrix-GGUF overview

zephyr 7b alpha — iMatrix GGUF GGUF quantizations of HuggingFaceH4/zephyr 7b alpha https://huggingface.co/HuggingFaceH4/zephyr 7b alpha , published by Liodon A…

gguflocal-llmllama.cpplm-studioquantizedollamaimatrixsub-4-bitmistralbase_model:mistralai/Mistral-7B-v0.1text-generationbase_model:HuggingFaceH4/zephyr-7b-alphabase_model:quantized:HuggingFaceH4/zephyr-7b-alphalicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~2.33 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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Repository Files & Downloads

7 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
zephyr-7b-alpha-IQ2_M.ggufGGUFIQ2_M2.33 GBDownload
zephyr-7b-alpha-IQ3_M.ggufGGUFIQ3_M3.06 GBDownload
zephyr-7b-alpha-IQ4_XS.ggufGGUFIQ4_XS3.64 GBDownload
zephyr-7b-alpha-Q4_K_M.ggufGGUFQ4_K_M4.07 GBDownload
zephyr-7b-alpha-Q5_K_M.ggufGGUFQ5_K_M4.78 GBDownload
zephyr-7b-alpha-Q6_K.ggufGGUFQ6_K5.53 GBDownload
zephyr-7b-alpha-Q8_0.ggufGGUFQ8_07.17 GBDownload

Model Details

Model IDliodon-ai/zephyr-7b-alpha-imatrix-GGUF
Authorliodon-ai
Pipelinetext-generation
Licenseother
Base modelHuggingFaceH4/zephyr-7b-alpha
Last modified2026-10-16T14:22:57.000Z

Model README

---

license: other

base_model: HuggingFaceH4/zephyr-7b-alpha

base_model_relation: quantized

library_name: gguf

pipeline_tag: text-generation

quantized_by: liodon-ai

tags:

  • gguf
  • local-llm
  • llama.cpp
  • lm-studio
  • quantized
  • ollama
  • imatrix
  • sub-4-bit
  • mistral
  • base_model:mistralai/Mistral-7B-v0.1

---

zephyr-7b-alpha — iMatrix GGUF

GGUF quantizations of HuggingFaceH4/zephyr-7b-alpha, published by Liodon AI.

Quick Start

llama.cpp

llama-cli -hf liodon-ai/zephyr-7b-alpha-imatrix-GGUF:Q4_K_M

Ollama

ollama run hf.co/liodon-ai/zephyr-7b-alpha-imatrix-GGUF:Q4_K_M

LM Studio / Jan — search liodon-ai/zephyr-7b-alpha-imatrix-GGUF and pick your quant.

Quants

| Quant | Size | VRAM est. | Notes |

|-------|------|-----------|-------|

| IQ2_M | 2.50 GB | ~3 GB | 2-bit, iMatrix — smallest usable |

| IQ3_M | 3.28 GB | ~4 GB | 3-bit, iMatrix — great quality/size tradeoff |

| IQ4_XS | 3.91 GB | ~4 GB | 4-bit extra-small, iMatrix |

| Q4_K_M | 4.37 GB | ~5 GB | 4-bit, iMatrix-calibrated (recommended) |

| Q5_K_M | 5.13 GB | ~6 GB | 5-bit, iMatrix-calibrated |

| Q6_K | 5.94 GB | ~7 GB | 6-bit, iMatrix-calibrated, near-lossless |

| Q8_0 | 7.70 GB | ~9 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.

> Also see plain (non-iMatrix) quants: liodon-ai/zephyr-7b-alpha-GGUF

Source

Citation

@misc{liodonai_zephyr_7b_alpha_imatrix_gguf,
  title        = {zephyr-7b-alpha — iMatrix GGUF},
  author       = {{Liodon AI}},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/liodon-ai/zephyr-7b-alpha-imatrix-GGUF}},
  note         = {iMatrix GGUF quantization of HuggingFaceH4/zephyr-7b-alpha}
}

---

Quantized by Liodon AI

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