alt.freeweights.glm / exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.glmSubject:

exp-uns-r2egym-2_1x_glm_4_7_traces_locetash

Date: 2026-11-15Commit: 24a759fSigned: 2DC28CC7B26A283B ✓

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

0M params16.4GBexp-uns-r2egym-2_1x_glm_4_7_traces_locetashsafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
# manifest sha256 e5a5b4cc7c35… · 16.4 GB · 23 files
$ fw verify ./exp-uns-r2egym-2_1x_glm_4_7_traces_locetash laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
From sourceHosted (signed)laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetashLast check: 2026-11-15 04:29 UTC

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

Fine-tune of Qwen3-8B.

Works with

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 04:29 UTCpassed

Model card

From the publisher at commit 24a759f. Shown as plain text with links; images open at the publisher.

exp-uns-r2egym-2_1x_glm_4_7_traces_locetash#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp-uns-r2egym-2_1x_glm_4.7_traces_locetash 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.md1.45 KB10a3dbbf8ae493269c565a2f20d4907a7e6fe036e09bfc60fc76203ad29388ee
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json542 Bcd3f71c24a96598104ecd92cf07f4dff048886748717b444b289e4f05da6d7e7
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KBed36641e183b3d95dcefad8906aa22d183c445e4b582c8a0ca7d71a713c85f2d
generation_config.json188 B3b101cd89b140b757d0bca469e75570e75789a2423ada90a33ec17707dfacf08
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GB217e3dbf32a0e1fcd5324cf288cfc1ab06770da255a40de2e01f1c9489775f15
model-00002-of-00004.safetensors4.92 GB44693c94c6ac84e9d5ef5b117fedeb8e75f07a4ef6b27559858d87103f3b93d7
model-00003-of-00004.safetensors4.98 GB58e85133a5594ae3ce428293d95e728b8e2d226cef7bf94bd75f8d5dc82a7277
model-00004-of-00004.safetensors1.58 GB2f6c83ab5e781443864324bc03000c72b7015d866c8bb5cccff774825db5826d
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json555 Be58cdb6081b6d7eab730d21da451298e028d7fd8d8157e5ae967f018a41d026d
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json542 Bcd3f71c24a96598104ecd92cf07f4dff048886748717b444b289e4f05da6d7e7
trainer_log.jsonl147 KB15aed1cc771c079188b2377fe316449266e4a2fdb2a0369e7479e32bbb6c3cda
trainer_state.json236 KB4c8103ae5a427228b22f36f05452d92fca81db3d140a701f0795961b9224d6f0
training_args.bin8.66 KB9744e7f3e7ac5f6fc73e9e213553afaadb4e609c24609bb7147b85a20bc89198
training_loss.png41.1 KBedc264a863dc25f7919b608646f487af780589e2f3b03ab6e5551febd5228377
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
24a759f1d6 pinned now2026-11-15 04:29 UTC23 files · 16.4 GB

Use it

$ fw get laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
# manifest sha256 e5a5b4cc7c35… · 16.4 GB · 23 files
$ fw verify ./exp-uns-r2egym-2_1x_glm_4_7_traces_locetash laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.json --dir ./exp-uns-r2egym-2_1x_glm_4_7_traces_locetash $ python3 fw.py verify ./exp-uns-r2egym-2_1x_glm_4_7_traces_locetash ./laion__exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash --revision 24a759f1d6e6b440177063ad6b8ecc7b9cbc9e5a --local-dir ./exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
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/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash", revision="24a759f1d6e6b440177063ad6b8ecc7b9cbc9e5a") model = AutoModelForCausalLM.from_pretrained("laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash", revision="24a759f1d6e6b440177063ad6b8ecc7b9cbc9e5a", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash --revision 24a759f1d6e6b440177063ad6b8ecc7b9cbc9e5a

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
10a3dbbf8ae493269c565a2f20d4907a7e6fe036e09bfc60fc76203ad29388ee
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: exp-uns-r2egym-2_1x_glm_4_7_traces_locetashDate: 2026-11-15Commit: 24a759fSigned: 2DC28CC7B26A283B ✓
Upstream
laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
Pinned commit
24a759f1d6e6b440177063ad6b8ecc7b9cbc9e5a
Manifest
exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.json · .minisig
Manifest sha256
e5a5b4cc7c35d23c7ef9374a6f9dbcbe739e2e11514924f187e98ba460879a3c
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:29 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.json $ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.json.minisig $ minisign -Vm exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.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/exp-uns-r2egym-2_1x_glm_4_7_traces_locetash
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. exp-uns-r2egym-2_1x_glm_4_7_traces_locetash.json. Provenance. Takedown history: none.
From: bartowski <huggingface.co/bartowski>Subject: arcee-ai_GLM-4-32B-Base-32K-GGUF
From: ggml-org <huggingface.co/ggml-org>Subject: AutoGLM-Phone-9B-GGUF
From: zai-org <huggingface.co/zai-org>Subject: cogagent-chat-hf
From: zai-org <huggingface.co/zai-org>Subject: CogView3-Plus-3B
From: zai-org <huggingface.co/zai-org>Subject: cogvlm-base-490-hf
From: laion <huggingface.co/laion>Subject: dev_set_part1_10k_glm_4_7_traces_jupiter