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jkim96/Muse-Glimmer-30B-DASHQ-Q2-GGUF overview

DASH Q https://raw.githubusercontent.com/JaeminK/dashq/main/assets/dashq banner.png Muse Glimmer 30B DASH Q 2 bit GGUF llama.cpp GGUF files of meta models/Muse…

ggufllama.cppdashqquantizedtext-generationbase_model:meta-models/Muse-Glimmer-30Bbase_model:quantized:meta-models/Muse-Glimmer-30Blicense:apache-2.0endpoints_compatibleregion:usimatrixconversational

Runs locally from ~7.60 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

4 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Muse-Glimmer-30B-DASHQ-IQ2_M.ggufGGUFIQ2_M9.34 GBDownload
Muse-Glimmer-30B-DASHQ-IQ2_XS.ggufGGUFIQ2_XS8.58 GBDownload
Muse-Glimmer-30B-DASHQ-IQ2_XXS.ggufGGUFIQ2_XXS7.60 GBDownload
Muse-Glimmer-30B-DASHQ-Q2_K_XL.ggufGGUFQ2_K_XL10.16 GBDownload

Model Details

Model IDjkim96/Muse-Glimmer-30B-DASHQ-Q2-GGUF
Authorjkim96
Pipelinetext-generation
Licenseapache-2.0
Base modelmeta-models/Muse-Glimmer-30B
Last modified2026-10-02T17:08:14.000Z

Model README

---

license: apache-2.0

base_model: meta-models/Muse-Glimmer-30B

base_model_relation: quantized

library_name: gguf

pipeline_tag: text-generation

tags:

  • gguf
  • llama.cpp
  • dashq
  • quantized

---

!DASH-Q

Muse-Glimmer-30B - DASH-Q 2-bit GGUF

llama.cpp GGUF files of meta-models/Muse-Glimmer-30B quantized with

DASH-Q, at several 2-bit-class sizes. Every file uses only standard

llama.cpp tensor types (no tensor above 4 bits) and loads in any recent llama.cpp build.

| File | Type | Size | Bits / weight |

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

| Muse-Glimmer-30B-DASHQ-IQ2_XXS.gguf | IQ2_XXS | 8.16 GB | 2.34 |

| Muse-Glimmer-30B-DASHQ-IQ2_XS.gguf | IQ2_XS | 9.21 GB | 2.64 |

| Muse-Glimmer-30B-DASHQ-IQ2_M.gguf | IQ2_M | 10.03 GB | 2.88 |

| Muse-Glimmer-30B-DASHQ-Q2_K_XL.gguf | Q2_K_XL | 10.91 GB | 3.13 |

Text only: the vision tower is not included.

Perplexity (lower is better)

| Type | Model | Size | WikiText-2 | C4 |

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

| | Q8_0 | 29.6 GB | 5.64 | 10.06 |

| IQ2_XXS | llama.cpp IQ2_XXS (imatrix) | 7.96 GB | 8.12 | 15.38 |

| IQ2_XXS | unsloth UD-IQ2_XXS | 10.75 GB | 6.29 | 11.37 |

| IQ2_XXS | DASH-Q IQ2_XXS | 8.16 GB | 7.06 | 12.73 |

| IQ2_XS | llama.cpp IQ2_XS (imatrix) | 8.71 GB | 7.11 | 13.40 |

| IQ2_XS | unsloth UD-IQ2_XS | 11.51 GB | 6.09 | 10.98 |

| IQ2_XS | DASH-Q IQ2_XS | 9.21 GB | 6.41 | 11.51 |

| IQ2_M | llama.cpp IQ2_M (imatrix) | 9.85 GB | 6.43 | 11.71 |

| IQ2_M | unsloth UD-IQ2_M | 12.26 GB | 5.93 | 10.64 |

| IQ2_M | DASH-Q IQ2_M | 10.03 GB | 6.16 | 11.08 |

| Q2_K_XL | llama.cpp Q2_K (imatrix) | 10.69 GB | 6.33 | 11.39 |

| Q2_K_XL | unsloth UD-Q2_K_XL | 12.44 GB | 6.04 | 10.83 |

| Q2_K_XL | DASH-Q Q2_K_XL | 10.91 GB | 6.11 | 10.97 |

llama-perplexity, context 2048; WikiText-2 test, C4 validation (256 x 2048 tokens).

Zero-shot accuracy (lm-eval-harness, 0-shot)

| File | arc_easy | arc_challenge | piqa | hellaswag | winogrande | openbookqa | commonsense_qa | truthfulqa_mc2 | lambada_openai | avg |

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

| DASH-Q Q2_K_XL | 83.2 | 57.4 | 82.3 | 80.7 | 77.7 | 44.6 | 72.6 | 56.7 | 73.9 | 69.91 |

Usage

llama-cli -m Muse-Glimmer-30B-DASHQ-IQ2_M.gguf -ngl 99 -c 8192

License

Inherits the license of the base model (meta-models/Muse-Glimmer-30B).

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