alt.freeweights.text / r2egym-nl2bash-stack-bugsseq-fixthink-again

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

r2egym-nl2bash-stack-bugsseq-fixthink-again

Date: 2026-11-15Commit: 2f4f59fSigned: 2DC28CC7B26A283B ✓

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

0M params16.4GBr2egym-nl2bash-stack-bugsseq-fixthink-againsafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/r2egym-nl2bash-stack-bugsseq-fixthink-again
# manifest sha256 06aa5f180796… · 16.4 GB · 23 files
$ fw verify ./r2egym-nl2bash-stack-bugsseq-fixthink-again laion/r2egym-nl2bash-stack-bugsseq-fixthink-again

From sourceHosted (signed)laion/r2egym-nl2bash-stack-bugsseq-fixthink-againLast check: 2026-11-15 04:19 UTC

Run at home Get help

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

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

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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.text

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 04:19 UTC	passed

Model card

From the publisher at commit 2f4f59f. Shown as plain text with links; images open at the publisher.

r2egym-nl2bash-stack-bugsseq-fixthink-again#

This model is a fine-tuned version of Qwen/Qwen3-8B on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--penfever--glm-4.6-r2egym-32ep-32k/snapshots/1b98f51e65d71b6dc9702529884355b93b8b8685_thinking_preprocessed, the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--penfever--GLM-4.6-nl2bash-verified-32eps-32k/snapshots/61e17458d760f1419c4447abbab4fc93118563dd_thinking_preprocessed, the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--penfever--GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k/snapshots/1c13e68d92fc88775a6a593c5ca93a4a4bae0a38_thinking_preprocessed and the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--penfever--GLM-4.6-inferredbugs-32eps-65k/snapshots/60d83f48605156a6b9182f9b54c6da2d4dffc061_thinking_preprocessed datasets.

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	2.15 KB	f5eea8dd73f63aff8410318d706a6acf0171ff9e0256a0f00bbb923cdbb9f9a0
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	542 B	e6a61fa7a7c9e3289b7f6e3ee6f3309fe06543b6d8322e8ecbaa003b7f05f134
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	8b47519dd0006bff1bf28f4107e73ddcbaf6ed84152238901eea4e8422da2d5b
model-00002-of-00004.safetensors	4.92 GB	d638759ec341c9a528d107061f0e5ef2c418c44492a84377357be9da21f539f7
model-00003-of-00004.safetensors	4.98 GB	b6c47c7e99570c158c3902734f2bd06e0909bd817aa857a8b424be345f0f58aa
model-00004-of-00004.safetensors	1.58 GB	c176fea905d4636cff0465c24619a5995c63f1a3fb458e9f0d8064bcc1391bf1
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	1.25 KB	cb58cfcc5ad8625b8801f47873cf5972bd5d7f8edcb5e7089d60d874bbf1f019
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	e6a61fa7a7c9e3289b7f6e3ee6f3309fe06543b6d8322e8ecbaa003b7f05f134
trainer_log.jsonl	503 KB	049f3e39d22c3c9c9537db45e02778922581021fa670f40e4d24213b094e980c
trainer_state.json	797 KB	dd2d420273ffb834be9e21950b61cf56420e03eb692966cb2da8f67b51073655
training_args.bin	8.66 KB	f2d28eb26e6da08fac90131f23487425e48f7898da92155e41ec79a6116faa0e
training_loss.png	52.0 KB	c21e3eff456d056468c301d629fcee67aae2e5befc74a232981727b04e71c56b
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
2f4f59f076 pinned now	2026-11-15 04:19 UTC	23 files · 16.4 GB

Use it

$ fw get laion/r2egym-nl2bash-stack-bugsseq-fixthink-again
# manifest sha256 06aa5f180796… · 16.4 GB · 23 files
$ fw verify ./r2egym-nl2bash-stack-bugsseq-fixthink-again laion/r2egym-nl2bash-stack-bugsseq-fixthink-again

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again.json --dir ./r2egym-nl2bash-stack-bugsseq-fixthink-again
$ python3 fw.py verify ./r2egym-nl2bash-stack-bugsseq-fixthink-again ./laion__r2egym-nl2bash-stack-bugsseq-fixthink-again.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/r2egym-nl2bash-stack-bugsseq-fixthink-again --revision 2f4f59f076583f8c084bbca8308d5f80bfc7def5 --local-dir ./r2egym-nl2bash-stack-bugsseq-fixthink-again

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/r2egym-nl2bash-stack-bugsseq-fixthink-again", revision="2f4f59f076583f8c084bbca8308d5f80bfc7def5")
model = AutoModelForCausalLM.from_pretrained("laion/r2egym-nl2bash-stack-bugsseq-fixthink-again", revision="2f4f59f076583f8c084bbca8308d5f80bfc7def5", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/r2egym-nl2bash-stack-bugsseq-fixthink-again --revision 2f4f59f076583f8c084bbca8308d5f80bfc7def5

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: f5eea8dd73f63aff8410318d706a6acf0171ff9e0256a0f00bbb923cdbb9f9a0
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.textSubject: r2egym-nl2bash-stack-bugsseq-fixthink-againDate: 2026-11-15Commit: 2f4f59fSigned: 2DC28CC7B26A283B ✓

Upstream: laion/r2egym-nl2bash-stack-bugsseq-fixthink-again
Pinned commit: 2f4f59f076583f8c084bbca8308d5f80bfc7def5
Manifest: r2egym-nl2bash-stack-bugsseq-fixthink-again.json · .minisig
Manifest sha256: 06aa5f1807965348a2c5f18a5c282eddfe59fcbd5e43d987429f98bbce363c08
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:19 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again.json
$ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again.json.minisig
$ minisign -Vm r2egym-nl2bash-stack-bugsseq-fixthink-again.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

10 models in the catalog name this one as their parent.

Fine-tunes: 10

Fine-tunes 10

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/r2egym-nl2bash-stack-bugsseq-fixthink-again

Open in Freeweights Studio

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

Signed manifest

minisign, key 2DC28CC7B26A283B. r2egym-nl2bash-stack-bugsseq-fixthink-again.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again

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r2egym-nl2bash-stack-bugsseq-fixthink-again

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Evaluate with

Scan with

Works with

Overview

Model card

r2egym-nl2bash-stack-bugsseq-fixthink-again#

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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