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MoE Pilot Align 2.7B GGUF

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

TipoOtherModelo baseFlink-ddd/MoE-Pilot-Align-2.7BVersiónRevision a167307Publicador@mradermacherCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
5,49–14,2 GB
Modelo base
Flink-ddd/MoE-Pilot-Align-2.7B
Versión
vRevision a167307
Actualizado
2 oct 2026
Publicador
@mradermacher
Descargas
134
Parámetros
7B
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/Flink-ddd/MoE-Pilot-Align-2.7B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-i1-GGUF

Usage

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

LinkTypeSize/GBNotes
GGUFQ2_K6.0
GGUFQ3_K_S6.9
GGUFQ3_K_M7.5lower quality
GGUFQ3_K_L7.8
GGUFIQ4_XS8.0
GGUFQ4_K_S8.8fast, recommended
GGUFQ4_K_M9.6fast, recommended
GGUFQ5_K_S10.3
GGUFQ5_K_M10.9
GGUFQ6_K12.9very good quality
GGUFQ8_015.3fast, 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión a167307be28c9cf653fea0f387184097c85331cf
huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/tree/a167307be28c9cf653fea0f387184097c85331cf

Verificado 2 oct

Artefactos del modelo

11 artefactos

MoE-Pilot-Align-2.7B.IQ4_XS.gguf

gguf · 7,40 GB · SHA-256 06b467e85c34…0099 · Hugging Face

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MoE-Pilot-Align-2.7B.Q2_K.gguf

gguf · 5,49 GB · SHA-256 38202b7f828b…4640 · Hugging Face

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MoE-Pilot-Align-2.7B.Q3_K_L.gguf

gguf · 7,21 GB · SHA-256 8543ad9d395a…4b95 · Hugging Face

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MoE-Pilot-Align-2.7B.Q3_K_M.gguf

gguf · 6,93 GB · SHA-256 8a08d1cdb206…4c4a · Hugging Face

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MoE-Pilot-Align-2.7B.Q3_K_S.gguf

gguf · 6,37 GB · SHA-256 fe73994b1e68…5911 · Hugging Face

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MoE-Pilot-Align-2.7B.Q4_K_M.gguf

gguf · 8,84 GB · SHA-256 046671d3c348…4aaf · Hugging Face

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MoE-Pilot-Align-2.7B.Q4_K_S.gguf

gguf · 8,11 GB · SHA-256 12ecc51aa3a1…c3a0 · Hugging Face

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MoE-Pilot-Align-2.7B.Q5_K_M.gguf

gguf · 10,1 GB · SHA-256 885d35fcbd9d…77f6 · Hugging Face

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MoE-Pilot-Align-2.7B.Q5_K_S.gguf

gguf · 9,46 GB · SHA-256 f0f95ab9db00…83f5 · Hugging Face

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MoE-Pilot-Align-2.7B.Q6_K.gguf

gguf · 11,9 GB · SHA-256 87562beca537…32ae · Hugging Face

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MoE-Pilot-Align-2.7B.Q8_0.gguf

gguf · 14,2 GB · SHA-256 672a37d95c1c…dac7 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: Flink-ddd/MoE-Pilot-Align-2.7B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - moe - alignment --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/Flink-ddd/MoE-Pilot-Align-2.7B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MoE-Pilot-Align-2.7B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-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](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q2_K.gguf) | Q2_K | 6.0 | | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q3_K_S.gguf) | Q3_K_S | 6.9 | | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q3_K_M.gguf) | Q3_K_M | 7.5 | lower quality | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q3_K_L.gguf) | Q3_K_L | 7.8 | | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.IQ4_XS.gguf) | IQ4_XS | 8.0 | | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q4_K_S.gguf) | Q4_K_S | 8.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q4_K_M.gguf) | Q4_K_M | 9.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/MoE-Pilot-Align-2.7B-GGUF/resolve/main/MoE-Pilot-Align-2.7B.Q5_K_S.gguf) | Q5_K_S | 10....

Source context: 134 downloads · 0 likes · Library transformers · Repo mradermacher/MoE-Pilot-Align-2.7B-GGUF

Source context: 33 downloads · 0 likes · Library transformers · Repo mradermacher/MoE-Pilot-Align-2.7B-GGUF