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alt.freeweights.text / r2egym-nl2bash-stackseq
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.textSubject:

r2egym-nl2bash-stackseq

Date: 2026-11-15Commit: f04a48fSigned: 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-stackseqsafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/r2egym-nl2bash-stackseq
# manifest sha256 bfdcc0ece1c5… · 16.4 GB · 23 files
$ fw verify ./r2egym-nl2bash-stackseq laion/r2egym-nl2bash-stackseq
From sourceHosted (signed)laion/r2egym-nl2bash-stackseqLast check: 2026-11-15 04:24 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 04:24 UTCpassed

Model card

From the publisher at commit f04a48f. Shown as plain text with links; images open at the publisher.

r2egym-nl2bash-stackseq#

This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/glm-4.6-r2egym-32ep-32k, the penfever/GLM-4.6-nl2bash-verified-32eps-32k and the penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k 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.md1.51 KBe9611877dd1328905540f1db722f55ebafc3362956500521c123d3583fcc7786
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json543 Ba5c63e01631e9094f5289716017d8da925dedacca640f9046b4d0e8c86053d5b
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KB0990b6c9886d3c687f6a36dfb9bc3d82c2b58092a1cf32ca771fb0fb858256c4
generation_config.json188 B7ba4fb1eb8982970a54c98414d98567d29adf420768362345ff908e190a08bdb
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GBacef5022918d7df85b9b4b4a92bc344fd8311a5499c5fe9c9b70ef10d39432d4
model-00002-of-00004.safetensors4.92 GBf2e69ff2b74881612cc1fa590566ffaf526be99186db86453fb1186e401bdf78
model-00003-of-00004.safetensors4.98 GBb257af984da91c971d95fe52fd294a89c6f74a1a4aad53bd98733bd3154a881e
model-00004-of-00004.safetensors1.58 GBdf2c66f8a6ada08d08eed2845bd954460c7fd5edfc591dca675f5baf183292f5
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json563 B43f02d0a5b84a60b69a5de01af81d0d52ac28fa761a7888b777f99f91beb116a
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json543 Ba5c63e01631e9094f5289716017d8da925dedacca640f9046b4d0e8c86053d5b
trainer_log.jsonl378 KB30b90bda86451d2ccf2b926b37f5149099246f3221d2d0d16241771b0c873267
trainer_state.json572 KB2df8bae0c36dabab7be510aacbb0d4ca4490d6a794e375a60300894d88e711f2
training_args.bin8.66 KB7d541538bded6dcb9daa86b049742682f74610654e13a9df70777552de2e3e73
training_loss.png48.0 KBcd24efaa15c0f3c95c710d8a99c9820b1649fec128f298945d3fb0f189d7a0fc
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
f04a48fa31 pinned now2026-11-15 04:24 UTC23 files · 16.4 GB

Use it

$ fw get laion/r2egym-nl2bash-stackseq
# manifest sha256 bfdcc0ece1c5… · 16.4 GB · 23 files
$ fw verify ./r2egym-nl2bash-stackseq laion/r2egym-nl2bash-stackseq
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-stackseq.json --dir ./r2egym-nl2bash-stackseq $ python3 fw.py verify ./r2egym-nl2bash-stackseq ./laion__r2egym-nl2bash-stackseq.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/r2egym-nl2bash-stackseq --revision f04a48fa31c20543f61dc6148f099d29ca4335d1 --local-dir ./r2egym-nl2bash-stackseq
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-stackseq", revision="f04a48fa31c20543f61dc6148f099d29ca4335d1") model = AutoModelForCausalLM.from_pretrained("laion/r2egym-nl2bash-stackseq", revision="f04a48fa31c20543f61dc6148f099d29ca4335d1", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/r2egym-nl2bash-stackseq --revision f04a48fa31c20543f61dc6148f099d29ca4335d1
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
e9611877dd1328905540f1db722f55ebafc3362956500521c123d3583fcc7786
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-stackseqDate: 2026-11-15Commit: f04a48fSigned: 2DC28CC7B26A283B ✓
Upstream
laion/r2egym-nl2bash-stackseq
Pinned commit
f04a48fa31c20543f61dc6148f099d29ca4335d1
Manifest
r2egym-nl2bash-stackseq.json · .minisig
Manifest sha256
bfdcc0ece1c52ee1027955e973e90b1961c1e2f2a63f7ffbb23a9a2bfb85c436
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/r2egym-nl2bash-stackseq.json $ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-nl2bash-stackseq.json.minisig $ minisign -Vm r2egym-nl2bash-stackseq.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-nl2bash-stackseq
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-stackseq.json. Provenance. Takedown history: none.
Source
huggingface.co/laion/r2egym-nl2bash-stackseq

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