mradermacher/Muse-Glimmer-30B-Esper4-GGUF overview

---

base_model: ValiantLabs/Muse-Glimmer-30B-Esper4

datasets:

• sequelbox/Mitakihara2-DeepSeek-V4-Pro
• sequelbox/Tachibana4-DeepSeek-V4-Pro
• sequelbox/Titanium4-DeepSeek-V4-Pro

language:

• en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• esper
• esper-4
• valiant
• valiant-labs
• meta
• facebook
• muse-glimmer
• muse
• glimmer
• muse-glimmer-30b
• 30b
• reasoning
• code
• code-instruct
• python
• typescript
• javascript
• java
• c++
• c
• c#
• rust
• go
• haskell
• dev-ops
• jenkins
• terraform
• ansible
• docker
• jenkins
• kubernetes
• helm
• grafana
• prometheus
• shell
• bash
• azure
• aws
• gcp
• cloud
• scripting
• powershell
• problem-solving
• architect
• engineer
• developer
• creative
• analytical
• expert
• rationality
• conversational
• chat
• instruct

---

About

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static quants of https://huggingface.co/ValiantLabs/Muse-Glimmer-30B-Esper4

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For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Muse-Glimmer-30B-Esper4-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | mmproj-Q8_0 | 2.2 | multi-modal supplement |

| GGUF | mmproj-f16 | 3.9 | multi-modal supplement |

| GGUF | Q2_K | 10.8 | |

| GGUF | Q3_K_S | 12.6 | |

| GGUF | Q3_K_M | 13.8 | lower quality |

| GGUF | Q3_K_L | 14.8 | |

| GGUF | IQ4_XS | 15.4 | |

| GGUF | Q4_K_S | 16.2 | fast, recommended |

| GGUF | Q4_K_M | 17.0 | fast, recommended |

| GGUF | Q5_K_S | 19.4 | |

| GGUF | Q5_K_M | 19.9 | |

| GGUF | Q6_K | 23.0 | very good quality |

| GGUF | Q8_0 | 29.7 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.

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