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TRMIX 8B Instruct GGUF

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

TipoOtherModelo basetrmixai/TRMIX-8B-InstructVersiónRevision a05b487Publicador@mradermacherCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
2,96–15,0 GB
Modelo base
trmixai/TRMIX-8B-Instruct
Versión
vRevision a05b487
Actualizado
3 oct 2026
Publicador
@mradermacher
Descargas
313
Parámetros
8B
Tareas
Generación de texto
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/trmixai/TRMIX-8B-Instruct

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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_K3.3
GGUFQ3_K_S3.8
GGUFQ3_K_M4.1lower quality
GGUFQ3_K_L4.4
GGUFIQ4_XS4.6
GGUFQ4_K_S4.8fast, recommended
GGUFQ4_K_M5.0fast, recommended
GGUFQ5_K_S5.7
GGUFQ5_K_M5.8
GGUFQ6_K6.7very good quality
GGUFQ8_08.6fast, best quality
GGUFf1616.216 bpw, overkill

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 a05b487f63b9287aba44fa8c5b647dbf0bf8ef43
huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/tree/a05b487f63b9287aba44fa8c5b647dbf0bf8ef43

Verificado 3 oct

Artefactos del modelo

12 artefactos

TRMIX-8B-Instruct.f16.gguf

gguf · 15,0 GB · SHA-256 81afec8ee1c0…89af · Hugging Face

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TRMIX-8B-Instruct.IQ4_XS.gguf

gguf · 4,18 GB · SHA-256 5f1a62e535a0…cf1d · Hugging Face

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TRMIX-8B-Instruct.Q2_K.gguf

gguf · 2,96 GB · SHA-256 57a542ac4a61…1076 · Hugging Face

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TRMIX-8B-Instruct.Q3_K_L.gguf

gguf · 4,03 GB · SHA-256 b4c105cbb520…1257 · Hugging Face

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TRMIX-8B-Instruct.Q3_K_M.gguf

gguf · 3,74 GB · SHA-256 07bc9808e68f…cea2 · Hugging Face

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TRMIX-8B-Instruct.Q3_K_S.gguf

gguf · 3,41 GB · SHA-256 6b06981f1279…f22b · Hugging Face

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TRMIX-8B-Instruct.Q4_K_M.gguf

gguf · 4,58 GB · SHA-256 2b73d72ff810…301b · Hugging Face

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TRMIX-8B-Instruct.Q4_K_S.gguf

gguf · 4,37 GB · SHA-256 eab88d5fcc9c…75aa · Hugging Face

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TRMIX-8B-Instruct.Q5_K_M.gguf

gguf · 5,34 GB · SHA-256 d01d261dab6b…956e · Hugging Face

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TRMIX-8B-Instruct.Q5_K_S.gguf

gguf · 5,21 GB · SHA-256 fc583c10f8e5…387c · Hugging Face

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TRMIX-8B-Instruct.Q6_K.gguf

gguf · 6,14 GB · SHA-256 bcbffca5a16d…9cd4 · Hugging Face

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TRMIX-8B-Instruct.Q8_0.gguf

gguf · 7,95 GB · SHA-256 93d04d8a0562…9b23 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: trmixai/TRMIX-8B-Instruct language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - transformers - unsloth - llama --- ## 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/trmixai/TRMIX-8B-Instruct <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#TRMIX-8B-Instruct-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.Q2_K.gguf) | Q2_K | 3.3 | | | [GGUF](https://huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.Q3_K_S.gguf) | Q3_K_S | 3.8 | | | [GGUF](https://huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality | | [GGUF](https://huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.Q3_K_L.gguf) | Q3_K_L | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.IQ4_XS.gguf) | IQ4_XS | 4.6 | | | [GGUF](https://huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/TRMIX-8B-Instruct-GGUF/resolve/main/TRMIX-8B-Instruct.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended | | [GGUF](https://hugg...

Source context: 313 downloads · 1 likes · Library transformers · Repo mradermacher/TRMIX-8B-Instruct-GGUF

Source context: 587 downloads · 0 likes · Library transformers · Repo mradermacher/TRMIX-8B-Instruct-GGUF