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alt.freeweights.text / r2egym-nl2bashseq
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.textSubject:

r2egym-nl2bashseq

Date: 2026-11-15Commit: 1e548d4Signed: 2DC28CC7B26A283B ✓

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

0M params16.4GBr2egym-nl2bashseqsafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/r2egym-nl2bashseq
# manifest sha256 fa0bf70d41dd… · 16.4 GB · 23 files
$ fw verify ./r2egym-nl2bashseq laion/r2egym-nl2bashseq
From sourceHosted (signed)laion/r2egym-nl2bashseqLast check: 2026-11-15 04:26 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.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
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 04:26 UTCpassed

Model card

From the publisher at commit 1e548d4. Shown as plain text with links; images open at the publisher.

r2egym-nl2bashseq#

This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/glm-4.6-r2egym-32ep-32k and the penfever/GLM-4.6-nl2bash-verified-32eps-32k 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 4.56.1
  • Pytorch 2.9.1+cu128
  • Datasets 4.4.1
  • Tokenizers 0.22.1

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.md1.43 KBc13b35b0f052d8341fd259c46a9ea8d0fcee06e8efb62e193a221d88602a19e0
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json530 B5d811daaad96e031251c04bcaa446e4d86d3f66fabc588ff80c30a4a7fb7388a
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KB0990b6c9886d3c687f6a36dfb9bc3d82c2b58092a1cf32ca771fb0fb858256c4
generation_config.json188 B7ba4fb1eb8982970a54c98414d98567d29adf420768362345ff908e190a08bdb
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GBf5307927bb36be17ee9d3c7ebacd469df1ef5524d3b0457e651313d8d2cbd0be
model-00002-of-00004.safetensors4.92 GB5ea484804f43691e5f5f9cbbaa1614537c4d13c2c41423128cdfe0ea076910d9
model-00003-of-00004.safetensors4.98 GB2f555a73813177666180f680dbc7ff511edc6e8881dca0993ff0d788dba87e7b
model-00004-of-00004.safetensors1.58 GBecb94b002ce31e3dedf13b679c3d7e48e2c9c1815c3deb9c10f5467112b55f02
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json491 B1ed206bb3fa3a6353e5d68c9048a2775d23d7a1671967d66f931d9568bce36c7
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json399 Ba4620c4757fce2a848a06e23037a58676c8f9935d8805fbc2c8127f39d4cb4b0
trainer_log.jsonl201 KB554bc8cbe43e293db7d99e0758ab43c594fe891246812a0e5b0d39c575b72bbe
trainer_state.json315 KB71182b01ebb4e880bb68cf53830de910ebb0f2b838a010f57879198ccbf43728
training_args.bin8.59 KB394a7760502163325379237989e348be79be9f5c727bea538cbc70bbc1a1dc26
training_loss.png44.9 KB037815f53f5ac225ef1c488a70a4c12c01189c2c53c346db8cd5607077639251
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
1e548d4bde pinned now2026-11-15 04:26 UTC23 files · 16.4 GB

Use it

$ fw get laion/r2egym-nl2bashseq
# manifest sha256 fa0bf70d41dd… · 16.4 GB · 23 files
$ fw verify ./r2egym-nl2bashseq laion/r2egym-nl2bashseq
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/r2egym-nl2bashseq.json --dir ./r2egym-nl2bashseq $ python3 fw.py verify ./r2egym-nl2bashseq ./laion__r2egym-nl2bashseq.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/r2egym-nl2bashseq --revision 1e548d4bdee8ef389ed55d7d6473f2c60b41390e --local-dir ./r2egym-nl2bashseq
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-nl2bashseq", revision="1e548d4bdee8ef389ed55d7d6473f2c60b41390e") model = AutoModelForCausalLM.from_pretrained("laion/r2egym-nl2bashseq", revision="1e548d4bdee8ef389ed55d7d6473f2c60b41390e", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/r2egym-nl2bashseq --revision 1e548d4bdee8ef389ed55d7d6473f2c60b41390e
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
c13b35b0f052d8341fd259c46a9ea8d0fcee06e8efb62e193a221d88602a19e0
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-nl2bashseqDate: 2026-11-15Commit: 1e548d4Signed: 2DC28CC7B26A283B ✓
Upstream
laion/r2egym-nl2bashseq
Pinned commit
1e548d4bdee8ef389ed55d7d6473f2c60b41390e
Manifest
r2egym-nl2bashseq.json · .minisig
Manifest sha256
fa0bf70d41dd70d3432569a5f686de4bf39ef4b38b91b33268b21c47927a28dc
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:26 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-nl2bashseq.json $ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-nl2bashseq.json.minisig $ minisign -Vm r2egym-nl2bashseq.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/r2egym-nl2bashseq
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. r2egym-nl2bashseq.json. Provenance. Takedown history: none.
Source
huggingface.co/laion/r2egym-nl2bashseq

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