alt.freeweights.glm / exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.glmSubject:

exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

Date: 2026-11-15Commit: 9716f99Signed: 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_jupiter_cleanedsafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned
# manifest sha256 07174d6046af… · 16.4 GB · 23 files
$ fw verify ./exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

From sourceHosted (signed)laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleanedLast check: 2026-11-15 04:24 UTC

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Fine-tune of Qwen3-8B.

Works with

Run24 Fine-tune29 Convert15 Evaluate13 Scan13 Apps58

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

vLLM exo Text Generation WebUI

SGLang MLC LLM KTransformers LMCache Xinference LMDeploy mistral.rs Mooncake FlashInfer

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AIBrix fastllm ExLlamaV3

Transformers LocalAI tinygrad gpu-unlock Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

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mergekit TensorRT Model Optimizer

LLM Compressor Neural Compressor AutoRound AQLM GPTQModel ONNX Core ML Tools ExecuTorch

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Evaluate with

Opik DeepEval Ragas lm-evaluation-harness OpenCompass SWE-bench

simple-evals TruLens HELM

LightEval

Evaluate Weave

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Autoevals

Scan with

promptfoo garak Guardrails NeMo Guardrails Giskard DeepTeam AI Fairness 360 Fairlearn Detoxify MCP Scanner AgentDojo ModelScan

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picklescan

Overview Model card Files Use it License Provenance Model 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

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 04:24 UTC	passed

Model card

From the publisher at commit 9716f99. Shown as plain text with links; images open at the publisher.

exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned#

This model is a fine-tuned version of Qwen/Qwen3-8B on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--exp-uns-r2egym-2_1x_glm_4.7_traces_jupiter_cleaned/snapshots/c3c7ec333d7163209172f7e4f5c782b4f04797dc_thinking_preprocessed 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

File	Size	sha256
.gitattributes	1.57 KB	34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md	1.61 KB	8ed7ed4dc0507aedf5bddde5f1f9789e6e15188f8e6a4ca5fa9b9b4a34b56e6e
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	541 B	1782822b81094b44bba76a68e6ac8e70b6f45c0f0f109f59850702b4a17ea99a
chat_template.jinja	4.17 KB	a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json	1.54 KB	ed36641e183b3d95dcefad8906aa22d183c445e4b582c8a0ca7d71a713c85f2d
generation_config.json	188 B	3b101cd89b140b757d0bca469e75570e75789a2423ada90a33ec17707dfacf08
merges.txt	1.67 MB	8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors	4.90 GB	2d746b8b168dec485001cc326997e7a732bc675b0b96ef3cd8281329eb037922
model-00002-of-00004.safetensors	4.92 GB	16814c3176d1b3afca3e0fd88766d011b53939575d5acc6396363c7cbd95600e
model-00003-of-00004.safetensors	4.98 GB	3916ff8e2515c81e97af6f233ca84ca129165654c714454318c38649d443be5b
model-00004-of-00004.safetensors	1.58 GB	630335a31de142c845c7c248f3d57bfbe798d23bc8df19d45c5cb13341ded48c
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	734 B	4eee9099d9492c0e1d9c21918a8c18d2097aa79845f7b7ee82cbb8a4650a84d9
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json	5.43 KB	776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json	541 B	1782822b81094b44bba76a68e6ac8e70b6f45c0f0f109f59850702b4a17ea99a
trainer_log.jsonl	191 KB	e6534a0078dc94e6a3a46209aaae55a84ef8a89d10715805ef51dd4233662e4f
trainer_state.json	305 KB	8768cac54c132c3bf13b38681b0744adbebd753120788aed444e3509da569138
training_args.bin	8.66 KB	042e3cb40950512105bfbe1f21b4071827eab8300738a31f16a70358fbd32485
training_loss.png	41.5 KB	ffcbac0fa3db42c2b3585cece1857de85ba602efb9c3f749413a3078ea744ee7
vocab.json	2.78 MB	ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
9716f991f5 pinned now	2026-11-15 04:24 UTC	23 files · 16.4 GB

Use it

$ fw get laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned
# manifest sha256 07174d6046af… · 16.4 GB · 23 files
$ fw verify ./exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

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_jupiter_cleaned.json --dir ./exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned
$ python3 fw.py verify ./exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned ./laion__exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned.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_jupiter_cleaned --revision 9716f991f548ce5fad6be65d8524f0b3e4640b7c --local-dir ./exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

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_jupiter_cleaned", revision="9716f991f548ce5fad6be65d8524f0b3e4640b7c")
model = AutoModelForCausalLM.from_pretrained("laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned", revision="9716f991f548ce5fad6be65d8524f0b3e4640b7c", 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_jupiter_cleaned --revision 9716f991f548ce5fad6be65d8524f0b3e4640b7c

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: 8ed7ed4dc0507aedf5bddde5f1f9789e6e15188f8e6a4ca5fa9b9b4a34b56e6e
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_jupiter_cleanedDate: 2026-11-15Commit: 9716f99Signed: 2DC28CC7B26A283B ✓

Upstream: laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned
Pinned commit: 9716f991f548ce5fad6be65d8524f0b3e4640b7c
Manifest: exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned.json · .minisig
Manifest sha256: 07174d6046af37a0f4da0b1a2b8826e05a9a1c224a77a7ded9290592b7856622
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:24 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_jupiter_cleaned.json
$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned.json.minisig
$ minisign -Vm exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned.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_jupiter_cleaned

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_jupiter_cleaned.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

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exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned

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Evaluate with

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Works with

Overview

Model card

exp-uns-r2egym-2_1x_glm_4_7_traces_jupiter_cleaned#

Model description#

Intended uses & limitations#

Training and evaluation data#

Training procedure#

Training hyperparameters#

Training results#

Framework versions#

Files

Use it

License

Provenance

How to verify

Model tree

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