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alt.freeweights.glm / glm46-bash-textbook-traces
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.glmSubject:

glm46-bash-textbook-traces

Date: 2026-11-15Commit: 865f515Signed: 2DC28CC7B26A283B ✓

Text generation model with 0M parameters. Safetensors weights, 16.4 GB in all. Published by laion under Apache-2.0.

0M params16.4GBglm46-bash-textbook-tracessafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/glm46-bash-textbook-traces
# manifest sha256 ae8d616bdba6… · 16.4 GB · 23 files
$ fw verify ./glm46-bash-textbook-traces laion/glm46-bash-textbook-traces
From sourceHosted (signed)laion/glm46-bash-textbook-tracesLast check: 2026-11-15 04:25 UTC
Run at homeGet help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of Qwen3-8B.

Works with

Run24Fine-tune29Convert15Evaluate13Scan13Apps58
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
16.4 GB
Weights
16.4 GB (safetensors)
Parameters
0M
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
23, each with a sha256
Publisher
laion
Added
2026-11-15
Section
alt.freeweights.glm
Lineage

Original release from the publisher.

Base model: Qwen/Qwen3-8B

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 04:25 UTCpassed

Model card

From the publisher at commit 865f515. Shown as plain text with links; images open at the publisher.

glm46-bash-textbook-traces#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/glm46-bash-textbook-traces dataset.

Model description#

More information needed

Intended uses & limitations#

More information needed

Training and evaluation data#

More information needed

Training procedure#

Training hyperparameters#

The following hyperparameters were used during training:

  • learning_rate: 4e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • total_eval_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 7.0
Training results#
Framework versions#
  • Transformers 4.57.6
  • Pytorch 2.9.0+cu128
  • Datasets 4.4.1
  • Tokenizers 0.22.2

Files

23 files · 16.4 GBWeights 16.4 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 23 files with their sha256
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md1.40 KB684e76849c6472af4d8c18fd996b778038b7a31ed1e1bee3633f782ad54f295b
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json543 B2f0510952a31ea282696fce4486fa67ee0ba7effebfe3a8c59a35468e4cf5576
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KBed36641e183b3d95dcefad8906aa22d183c445e4b582c8a0ca7d71a713c85f2d
generation_config.json188 B3b101cd89b140b757d0bca469e75570e75789a2423ada90a33ec17707dfacf08
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GB3365471b30c650c44f7f2a2e1d545651b1cb8468a58a07c87a85a5fe2d6f9655
model-00002-of-00004.safetensors4.92 GB40719e7ae0d6ac1d37e80e25c864e561264ef404921337ce7715fee248bcbaf9
model-00003-of-00004.safetensors4.98 GBbaddf5c8ed04b409c7d7e750be2cb8a86a847f1efc895050d91b494ae18cfd7c
model-00004-of-00004.safetensors1.58 GB855977c0d6cb2a9c268141b4a437e8918396886510e8ba71e65103ef1fab435b
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json487 B9cf93f299ceea933d7f94ae1ebd1befff9ab745966da5b72aa19ddd0d494a309
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json543 B2f0510952a31ea282696fce4486fa67ee0ba7effebfe3a8c59a35468e4cf5576
trainer_log.jsonl112 KBa2ce943d22f5a14492b5e013b49e52515b55e2c56d82c46616f32d1cc007d33b
trainer_state.json181 KBf350230675f28215985607fb173fff0fddded909211d58f3e875fd0faa46a9eb
training_args.bin8.59 KBe4341b780912c31ee66c00f7b534d0b65c126c6aa29b248cb2d0428d0b87b701
training_loss.png40.6 KBefcdc1675a3d5de181a664eccfcfbaac1dda9925bb21ee20d0a45fefe9dc9959
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
865f515617 pinned now2026-11-15 04:25 UTC23 files · 16.4 GB

Use it

$ fw get laion/glm46-bash-textbook-traces
# manifest sha256 ae8d616bdba6… · 16.4 GB · 23 files
$ fw verify ./glm46-bash-textbook-traces laion/glm46-bash-textbook-traces
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/glm46-bash-textbook-traces.json --dir ./glm46-bash-textbook-traces $ python3 fw.py verify ./glm46-bash-textbook-traces ./laion__glm46-bash-textbook-traces.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/glm46-bash-textbook-traces --revision 865f51561762e920d62efda38d4b17d2c3c822d2 --local-dir ./glm46-bash-textbook-traces
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("laion/glm46-bash-textbook-traces", revision="865f51561762e920d62efda38d4b17d2c3c822d2") model = AutoModelForCausalLM.from_pretrained("laion/glm46-bash-textbook-traces", revision="865f51561762e920d62efda38d4b17d2c3c822d2", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/glm46-bash-textbook-traces --revision 865f51561762e920d62efda38d4b17d2c3c822d2
Run at home

License

Name
Apache License 2.0
Id
Apache-2.0
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
684e76849c6472af4d8c18fd996b778038b7a31ed1e1bee3633f782ad54f295b
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: laion <huggingface.co/laion>Newsgroups: alt.freeweights.glmSubject: glm46-bash-textbook-tracesDate: 2026-11-15Commit: 865f515Signed: 2DC28CC7B26A283B ✓
Upstream
laion/glm46-bash-textbook-traces
Pinned commit
865f51561762e920d62efda38d4b17d2c3c822d2
Manifest
glm46-bash-textbook-traces.json · .minisig
Manifest sha256
ae8d616bdba622dd9b8238032b4cf90769a618d82dd674025387c4a295c684e0
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:25 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/glm46-bash-textbook-traces.json $ curl -O https://freeweights.allternit.com/manifests/laion/glm46-bash-textbook-traces.json.minisig $ minisign -Vm glm46-bash-textbook-traces.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

Qwen/Qwen3-8B · this model is a finetune of it

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

Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/glm46-bash-textbook-traces
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. glm46-bash-textbook-traces.json. Provenance. Takedown history: none.
Source
huggingface.co/laion/glm46-bash-textbook-traces

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