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GLM 4.6V MXFP4 MoE GGUF

This is a imatrix MXFP4MOE quantization of the model GLM-4.6V, based on the imatrix from unsloth.

TipoOtherModelo basezai-org/GLM-4.6VVersiónRevision d5af51ePublicador@jamiefutchCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
948 MB–14,7 GB
Modelo base
zai-org/GLM-4.6V
Versión
vRevision d5af51e
Actualizado
4 oct 2026
Publicador
@jamiefutch
Descargas
61
Fuente
Hugging Face

Descripción de la fuente

This is a imatrix MXFP4_MOE quantization of the model GLM-4.6V, based on the imatrix from unsloth.

Get the latest llama.cpp in order to run it.

For the mmproj, try to use the largest version you can fit in memory in order to get the best results.
F32 > BF16 > F16 > Q8_0.

Fuentes

1 fuente
Hugging FacePrincipalVersión d5af51efdac0130eaf4454c9362b2833e40cbb7b
huggingface.co/jamiefutch/GLM-4.6V-MXFP4_MOE-GGUF/tree/d5af51efdac0130eaf4454c9362b2833e40cbb7b

Verificado 4 oct

Artefactos del modelo

8 artefactos

GLM-4.6V-MXFP4_MOE-00001-of-00004.gguf

gguf · 14,6 GB · SHA-256 a93f792301f6…53da · Hugging Face

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GLM-4.6V-MXFP4_MOE-00002-of-00004.gguf

gguf · 14,7 GB · SHA-256 a7d93eccf8ee…92e4 · Hugging Face

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GLM-4.6V-MXFP4_MOE-00003-of-00004.gguf

gguf · 14,7 GB · SHA-256 b9b09b4b6e53…9a9b · Hugging Face

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GLM-4.6V-MXFP4_MOE-00004-of-00004.gguf

gguf · 12,6 GB · SHA-256 596dba45fc40…f361 · Hugging Face

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mmproj-BF16.gguf

gguf · 1,65 GB · SHA-256 5ad73809d750…35d2 · Hugging Face

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mmproj-F16.gguf

gguf · 1,60 GB · SHA-256 d3c5b2a5089b…29a2 · Hugging Face

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mmproj-F32.gguf

gguf · 3,20 GB · SHA-256 ec76cf75dfd9…ed41 · Hugging Face

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mmproj-Q8_0.gguf

gguf · 948 MB · SHA-256 b1edd7b50526…6931 · Hugging Face

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Extractos de fuentes

3 extractos

--- pipeline_tag: image-text-to-text base_model: - zai-org/GLM-4.6V --- This is a imatrix MXFP4_MOE quantization of the model [GLM-4.6V](https://huggingface.co/zai-org/GLM-4.6V), based on the imatrix from unsloth. Get the latest [llama.cpp](https://github.com/ggml-org/llama.cpp/releases) in order to run it. For the mmproj, try to use the largest version you can fit in memory in order to get the best results. F32 > BF16 > F16 > Q8_0.

Source context: 61 downloads · 2 likes · Pipeline image-text-to-text · Repo jamiefutch/GLM-4.6V-MXFP4_MOE-GGUF

Source context: 210 downloads · 2 likes · Pipeline image-text-to-text · Repo jamiefutch/GLM-4.6V-MXFP4_MOE-GGUF