alt.freeweights.glm / exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned

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

exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned

Date: 2026-11-15Commit: 386adc6Signed: 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-16_8x_glm_4_7_traces_jupiter_cleanedsafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned
# manifest sha256 38590590b884… · 16.4 GB · 23 files
$ fw verify ./exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned

From sourceHosted (signed)laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleanedLast check: 2026-11-15 04:25 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 04:25 UTC	passed

Model card

From the publisher at commit 386adc6. Shown as plain text with links; images open at the publisher.

exp-uns-r2egym-16_8x_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-16_8x_glm_4.7_traces_jupiter_cleaned/snapshots/f33c2e87626104d2406a7182a6a713bf0b337bdb_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	65cec7ad0ea3b1d2849601c6867612d4bd188db0b66670aadf80469385880207
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	542 B	0deff0299b8b9da1bae2966a71e2424de9f6ca741318ed14153c87fb1ed03f1b
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	e0f4ce794cdafca6cb898afa0b5a3fed8d02bd962a2ad582cdfeaa8b426235d1
model-00002-of-00004.safetensors	4.92 GB	472cdca1fd5b320dda8fb51e3c0508f0e6db01ed572de48a2b78da1a3fd39e59
model-00003-of-00004.safetensors	4.98 GB	c8f469b1c46b40977d96d05cff87ca85b5d51dd5314b6581d373d1f0956486df
model-00004-of-00004.safetensors	1.58 GB	73caead9d80149a68f9d08a922a1726491057ea80ed48f1937a642f603493ab8
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	737 B	476950347fe06beae2a2f57976faaa1fc067e33d624964f3d868c842dd05b55a
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json	5.43 KB	776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json	542 B	0deff0299b8b9da1bae2966a71e2424de9f6ca741318ed14153c87fb1ed03f1b
trainer_log.jsonl	181 KB	8c97e3917d7c7969172d362575c5b92b69d131d23053d958a1369d5407db707b
trainer_state.json	290 KB	dc5315abc7c80868d32d01d088ea297435b531fbab5acedb30b089b984f17af5
training_args.bin	8.66 KB	533dc62155aeb0a41e98255957877f2d7b430f80fbe7665e1810e4a03004f0ec
training_loss.png	41.3 KB	1c3d39ba3d9c993041cb7350b432356e0af06f3ff4a8184d211dd83e6079c756
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
386adc6112 pinned now	2026-11-15 04:25 UTC	23 files · 16.4 GB

Use it

$ fw get laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned
# manifest sha256 38590590b884… · 16.4 GB · 23 files
$ fw verify ./exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned laion/exp-uns-r2egym-16_8x_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-16_8x_glm_4_7_traces_jupiter_cleaned.json --dir ./exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned
$ python3 fw.py verify ./exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned ./laion__exp-uns-r2egym-16_8x_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-16_8x_glm_4_7_traces_jupiter_cleaned --revision 386adc61120b061ced06a35a0498aed57eb6e16c --local-dir ./exp-uns-r2egym-16_8x_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-16_8x_glm_4_7_traces_jupiter_cleaned", revision="386adc61120b061ced06a35a0498aed57eb6e16c")
model = AutoModelForCausalLM.from_pretrained("laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned", revision="386adc61120b061ced06a35a0498aed57eb6e16c", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned --revision 386adc61120b061ced06a35a0498aed57eb6e16c

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: 65cec7ad0ea3b1d2849601c6867612d4bd188db0b66670aadf80469385880207
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-16_8x_glm_4_7_traces_jupiter_cleanedDate: 2026-11-15Commit: 386adc6Signed: 2DC28CC7B26A283B ✓

Upstream: laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned
Pinned commit: 386adc61120b061ced06a35a0498aed57eb6e16c
Manifest: exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned.json · .minisig
Manifest sha256: 38590590b884cc75c47b49ee819c99bcfa9a0e14262bf3d8ed1a80026171182c
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/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned.json
$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned.json.minisig
$ minisign -Vm exp-uns-r2egym-16_8x_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-16_8x_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-16_8x_glm_4_7_traces_jupiter_cleaned.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned

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exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter_cleaned

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Works with

Overview

Model card

exp-uns-r2egym-16_8x_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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