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alt.freeweights.glm / GLM-4.6-GGUF
From: unsloth <huggingface.co/unsloth>Newsgroups: alt.freeweights.glmSubject:

GLM-4.6-GGUF

Date: 2026-11-15Commit: c4c3a96Signed: 2DC28CC7B26A283B ✓

Text generation model. Gguf weights, 5.82 TB in all. Published by unsloth under MIT.

glm5.82TBGLM-4.6-GGUFggufpermissive
FactsParamsnot statedSize5.82 TBFormatsggufTasktext generationLicenseMITFrom sourcepermissive
$ fw get unsloth/GLM-4.6-GGUF
# manifest sha256 82724e003ec0… · 5.82 TB · 133 files
$ fw verify ./GLM-4.6-GGUF unsloth/GLM-4.6-GGUF
From sourceHosted (signed)unsloth/GLM-4.6-GGUFLast check: 2026-11-15 04:47 UTC
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Quantized of GLM-4.6.

Works with

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Overview

Size
5.82 TB
Weights
84.1 GB (smallest of 27 GGUF variants)
Parameters
not stated
Formats
gguf
Task
text generation
License
MIT (permissive)
Files
133, each with a sha256
Publisher
unsloth
Added
2026-11-15
Section
alt.freeweights.glm
Lineage

Original release from the publisher.

Base model: zai-org/GLM-4.6

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 04:47 UTCpassed

Model card

From the publisher at commit c4c3a96. Shown as plain text with links; images open at the publisher.

Read our How to Run GLM-4.6 Guide!#

Note. Please use latest version of llama.cpp. This GGUF includes multiple Unsloth chat template fixes!

For llama.cpp, please use --jinja

Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.

https://github.com/unslothai/unsloth/ https://discord.gg/unsloth https://docs.unsloth.ai/models/glm-4.6-how-to-run-locally

GLM-4.6#

Image: image

👋 Join our Discord community.

📖 Check out the GLM-4.6 technical blog, technical report(GLM-4.5), and Zhipu AI technical documentation.

📍 Use GLM-4.6 API services on Z.ai API Platform.

👉 One click to GLM-4.6.

Model Introduction#

Compared with GLM-4.5, GLM-4.6 brings several key improvements:

  • Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.
  • Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages.
  • Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability.
  • More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks.
  • Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.

We evaluated GLM-4.6 across eight public benchmarks covering agents, reasoning, and coding. Results show clear gains over GLM-4.5, with GLM-4.6 also holding competitive advantages over leading domestic and international models such as DeepSeek-V3.1-Terminus and Claude Sonnet 4.

Image: bench

Inference#

Both GLM-4.5 and GLM-4.6 use the same inference method.

you can check our github for more detail.

For general evaluations, we recommend using a sampling temperature of 1.0.

For code-related evaluation tasks (such as LCB), it is further recommended to set:

  • top_p = 0.95
  • top_k = 40

Evaluation#

  • For tool-integrated reasoning, please refer to this doc.
  • For search benchmark, we design a specific format for searching toolcall in thinking mode to support search agent, please refer to this. for the detailed template.

Files

133 files · 5.82 TBWeights 84.1 GB (smallest of 27 GGUF variants). Sizes and sha256 from the signed manifest.
Show all 133 files with their sha256
FileSizesha256
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UD-IQ2_M/GLM-4.6-UD-IQ2_M-00003-of-00003.gguf22.3 GB69b2f8a60c05bdc7e2c556da689712d9f775a0a44d9f564db2881d56df766926
UD-IQ2_XXS/GLM-4.6-UD-IQ2_XXS-00001-of-00003.gguf49.8 GBdfe8c49ee559ef2f6201e557602019b50461a4fa2c79c8b197edff974e5f6ce0
UD-IQ2_XXS/GLM-4.6-UD-IQ2_XXS-00002-of-00003.gguf49.9 GB9abe4901fbc55be8218d935ba9538b81afc5ccba078bf3dca9c5e7a95a1273b9
UD-IQ2_XXS/GLM-4.6-UD-IQ2_XXS-00003-of-00003.gguf15.7 GB6d9121ca79df4554ef8cfc3a8e08f08dd63280af17c117261ba1bf48390a5e52
UD-IQ3_XXS/GLM-4.6-UD-IQ3_XXS-00001-of-00003.gguf50.0 GBd58784f4c9dbfae4068b3356c2f59cbb3d1ab912634adbd33daaf5f30332e874
UD-IQ3_XXS/GLM-4.6-UD-IQ3_XXS-00002-of-00003.gguf49.8 GB6ffb64b2fce567ffb6b922338904f77702a0a91e48a5afcc7c2f3a2126562791
UD-IQ3_XXS/GLM-4.6-UD-IQ3_XXS-00003-of-00003.gguf44.9 GB381c7879f4d460f4b02e7550af0baa73fbd160f7862153b82c79dba86d20926c
UD-Q2_K_XL/GLM-4.6-UD-Q2_K_XL-00001-of-00003.gguf49.8 GB7c264fd5b5481cee33ccad74bedf810744a5d93d8c7a985cbf2cf8c0f20a9a44
UD-Q2_K_XL/GLM-4.6-UD-Q2_K_XL-00002-of-00003.gguf49.7 GBd80e2b0872324402f97b9c816826232bc0355ae2a7d21546d67d146cdcf24678
UD-Q2_K_XL/GLM-4.6-UD-Q2_K_XL-00003-of-00003.gguf35.2 GBee615b6bf08d38d04726ee703a06f49552e12d0f63cbd82b585631d7154fb57f
UD-Q3_K_XL/GLM-4.6-UD-Q3_K_XL-00001-of-00004.gguf49.7 GB38a67d98aed5b735053d33c3a2b226572a6d0600c456533ddaf74ed3cf4bb8c3
UD-Q3_K_XL/GLM-4.6-UD-Q3_K_XL-00002-of-00004.gguf49.8 GBc0633355e16e75dc774ec8101e8a4562d2a6ad897e4b2d3316e32aacb17eebba
UD-Q3_K_XL/GLM-4.6-UD-Q3_K_XL-00003-of-00004.gguf49.6 GB219ccadd9ba99f14dffb93ff760d3232b545ae544b6db7305d2d36a0d17c6d2d
UD-Q3_K_XL/GLM-4.6-UD-Q3_K_XL-00004-of-00004.gguf9.07 GB37d894dd43f738a44e71a3f1021d539f5b2bc2ba6e7ba3928e461199f93d7bed
UD-Q4_K_XL/GLM-4.6-UD-Q4_K_XL-00001-of-00005.gguf49.6 GBdd85dc70b6e685ccb5f8c5e17b10df7fbdfcda3442c88e8920d2b31d3d9b8812
UD-Q4_K_XL/GLM-4.6-UD-Q4_K_XL-00002-of-00005.gguf49.6 GB3b784486f0bef252022dae5b6a2f9410c92169d9e8cd0aa9797051ce31c4b269
UD-Q4_K_XL/GLM-4.6-UD-Q4_K_XL-00003-of-00005.gguf49.8 GB51f5bdd0c9ac22ac5dcbc8afe0c60b4f12fdd210e575f16bcfd6789651a38d3e
UD-Q4_K_XL/GLM-4.6-UD-Q4_K_XL-00004-of-00005.gguf49.4 GB78fb5b17d0a5a2fc1fec2f33dbaea2c54176b147704bc60dfdf14ea768fce785
UD-Q4_K_XL/GLM-4.6-UD-Q4_K_XL-00005-of-00005.gguf5.36 GBd1b7200656e32341fa17e986a703a6248241c7794ac1a44d1c9db1a0d4b1eee4
UD-Q5_K_XL/GLM-4.6-UD-Q5_K_XL-00001-of-00006.gguf49.4 GBddbc02eb5acd8ea39912ad6e230a188bf9c1ac4149ae5b26a2575143ceb1c000
UD-Q5_K_XL/GLM-4.6-UD-Q5_K_XL-00002-of-00006.gguf49.9 GB6b4f08b7c95c977a4048203b165e9d0ef2adebe963dc97859b139c8704a4f619
UD-Q5_K_XL/GLM-4.6-UD-Q5_K_XL-00003-of-00006.gguf49.9 GB1f44c7e5772d12efe9b7730cce7aea006a7c977e4a80fb42a0f9472048dfec5e
UD-Q5_K_XL/GLM-4.6-UD-Q5_K_XL-00004-of-00006.gguf49.9 GB4452725720f0ba7ad91fba0796e5686f7cb44a4eaa3cec32ceb29fdeda281ab0
UD-Q5_K_XL/GLM-4.6-UD-Q5_K_XL-00005-of-00006.gguf50.0 GBa7c3e14b90f18838e79c5dcc59fa49db757c4572026184e32de793aec8e9d3b3
UD-Q5_K_XL/GLM-4.6-UD-Q5_K_XL-00006-of-00006.gguf2.87 GB42d772d5e3fc3ecf95f0b154aa2d71f6e3b79967f7488bfe531453c2250f3588
UD-Q6_K_XL/GLM-4.6-UD-Q6_K_XL-00001-of-00006.gguf49.9 GBdd1d776bc4b3acf1cbaf7caee355f447b2302a6d2bbcc0501f9e40975f1c5705
UD-Q6_K_XL/GLM-4.6-UD-Q6_K_XL-00002-of-00006.gguf49.9 GB8f44d8d4ab1e2bd74c530d3902a34dcb06751f89a3482f37796197a99e4db6dd
UD-Q6_K_XL/GLM-4.6-UD-Q6_K_XL-00003-of-00006.gguf49.9 GB9ebaa1f4f7274ee9d48e26e98d63cdd0188512032f87d5903d3202b02135bd98
UD-Q6_K_XL/GLM-4.6-UD-Q6_K_XL-00004-of-00006.gguf50.0 GB15abd0fbd9ac7bafe5861a96d9448e987b00683652c614aa0261d83db17beccc
UD-Q6_K_XL/GLM-4.6-UD-Q6_K_XL-00005-of-00006.gguf49.9 GB69a19f3deee5d67c61c1b457707b1c70510eace92f51c94d416409a38897ae8a
UD-Q6_K_XL/GLM-4.6-UD-Q6_K_XL-00006-of-00006.gguf49.5 GBef827f99ba3ac7d9fc42a418bc329feaee41dac1e1ab601b932fd5c817f2c3c7
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00001-of-00008.gguf49.7 GB652d855610ba18e4e51ad3256ea415d9a843666f9c25acfdb3d97450cdb4f9e0
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00002-of-00008.gguf49.0 GBffe743c8ead0c8ec864affcd44f96b86435fae2db6fd8501ab022846c8d25c34
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00003-of-00008.gguf49.0 GB92787c2aca118f11604e5c4fb4a38242faca106045b4e30606474cc0ed9fee50
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00004-of-00008.gguf48.9 GB3df7703e6258e2be106ebaeff37a0e9adc687ab5f8871a91cc01fd6ebae41d35
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00005-of-00008.gguf49.0 GBbe541b11cdf279bb7741e341c828c507d0887b1e55a8ea916e975635f57694c5
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00006-of-00008.gguf49.0 GB92d0fbb376adb7c252b5a3401d89ede6378148dc09325d6fbeeeda401a1494bc
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00007-of-00008.gguf48.9 GBedb4cf614e649dddfe06cb78e25786960c7ca274b1f9d7beb2a423270b51335e
UD-Q8_K_XL/GLM-4.6-UD-Q8_K_XL-00008-of-00008.gguf46.4 GBc346b21e2240a358b4b3e2ea48f59ae5ba17331d5ce3371e6904a267da60ec72
imatrix_unsloth.gguf_file688 MBe1208f80d36a439cb9259dc7a50db2e0aaac2036373cc56c8dae19f36910c841
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
c4c3a96aa3 pinned now2026-11-15 04:47 UTC133 files · 5.82 TB

Use it

$ fw get unsloth/GLM-4.6-GGUF
# manifest sha256 82724e003ec0… · 5.82 TB · 133 files
$ fw verify ./GLM-4.6-GGUF unsloth/GLM-4.6-GGUF
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/unsloth/GLM-4.6-GGUF.json --dir ./GLM-4.6-GGUF $ python3 fw.py verify ./GLM-4.6-GGUF ./unsloth__GLM-4.6-GGUF.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/GLM-4.6-GGUF --revision c4c3a96aa300f9c363994c1613aa590912fa0f77 --local-dir ./GLM-4.6-GGUF
llama.cppDownload one GGUF variant (GLM-4.6-UD-TQ1_0, 84.1 GB), then serve it.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/GLM-4.6-GGUF --include "GLM-4.6-UD-TQ1_0*" --local-dir ./GLM-4.6-GGUF $ llama-server -m ./GLM-4.6-GGUF/GLM-4.6-UD-TQ1_0.gguf
OllamaMake an Ollama model from the downloaded file.
$ printf 'FROM ./GLM-4.6-GGUF/GLM-4.6-UD-TQ1_0.gguf\n' > Modelfile $ ollama create glm-4.6-gguf -f Modelfile

License

Name
MIT License
Id
MIT
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
0afd9206e31e351d4f9cdbe240c4f11478d59fffcce4aa58639d2fc3958ade69
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: unsloth <huggingface.co/unsloth>Newsgroups: alt.freeweights.glmSubject: GLM-4.6-GGUFDate: 2026-11-15Commit: c4c3a96Signed: 2DC28CC7B26A283B ✓
Upstream
unsloth/GLM-4.6-GGUF
Pinned commit
c4c3a96aa300f9c363994c1613aa590912fa0f77
Manifest
GLM-4.6-GGUF.json · .minisig
Manifest sha256
82724e003ec06a1094feb22c15a9dd9acae53c9f0eb1d5712323693cd6f36354
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:47 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/unsloth/GLM-4.6-GGUF.json $ curl -O https://freeweights.allternit.com/manifests/unsloth/GLM-4.6-GGUF.json.minisig $ minisign -Vm GLM-4.6-GGUF.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

zai-org/GLM-4.6 · this model is a quantization of it

No model in the catalog names this one as its parent.

Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download unsloth/GLM-4.6-GGUF
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. GLM-4.6-GGUF.json. Provenance. Takedown history: none.
Source
huggingface.co/unsloth/GLM-4.6-GGUF

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