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

r2egym-bugsseq

Date: 2026-11-15Commit: 7d74af3Signed: 2DC28CC7B26A283B ✓

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

0M params16.4GBr2egym-bugsseqsafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/r2egym-bugsseq
# manifest sha256 6ea6877f4dd7… · 16.4 GB · 23 files
$ fw verify ./r2egym-bugsseq laion/r2egym-bugsseq
From sourceHosted (signed)laion/r2egym-bugsseqLast 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 7d74af3. Shown as plain text with links; images open at the publisher.

r2egym-bugsseq#

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-inferredbugs-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.md1.42 KB579d52e6349d36a43a8e2a425b4a3db5de1380d48e1022bb7e61b96160a3f14e
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json532 Bccdd777b9b6bdfa81e9e4fc82e096986720d3a690a1b659f1210aa22898c0072
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KB0990b6c9886d3c687f6a36dfb9bc3d82c2b58092a1cf32ca771fb0fb858256c4
generation_config.json188 B7ba4fb1eb8982970a54c98414d98567d29adf420768362345ff908e190a08bdb
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GB0ed6ad512c8d59e6b303ae42392bb5026c4865847a034da67f3caffbd46fb3de
model-00002-of-00004.safetensors4.92 GB141cf0f9e21306859f5d5d427da246c6bb7969a13ccb9b3834edb1c90ae4faf6
model-00003-of-00004.safetensors4.98 GBcc4f4edc50be42e6f377d9152177a2fe704197261e3ac6436deebead9daf5fca
model-00004-of-00004.safetensors1.58 GB070b62b86be79f60701f39e094c62466421e7bf66592d9848e8b240f4bb0c434
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json481 Beea5d127813328e8dc2f6bb961e9f4f6f2cc46cef3e8fa999a897d6fce634a84
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json400 Ba3be0bc5bbab289b758d1edcb2b510c1ba196b047e0cad5e0d5854122c9ef7ba
trainer_log.jsonl223 KB6249af5d098843beed68f7229353ef70aad496ee990a9156a043fc65a242f339
trainer_state.json347 KBea6c013b945191552f26afe751475f55e37b3b58b81b69cb0b83e238a3db57ef
training_args.bin8.59 KB30bec96bcde452dc7dee6aa438f6f626bcf2771b0093378ccacaabd97fbb2dce
training_loss.png51.0 KB543f853a17cba2ee32791686efe4496d06dbb0c126f4ce14f071bbb092dec550
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
7d74af3849 pinned now2026-11-15 04:24 UTC23 files · 16.4 GB

Use it

$ fw get laion/r2egym-bugsseq
# manifest sha256 6ea6877f4dd7… · 16.4 GB · 23 files
$ fw verify ./r2egym-bugsseq laion/r2egym-bugsseq
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/r2egym-bugsseq.json --dir ./r2egym-bugsseq $ python3 fw.py verify ./r2egym-bugsseq ./laion__r2egym-bugsseq.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/r2egym-bugsseq --revision 7d74af38496f8b3f232f6c85d804c1b089b81b6b --local-dir ./r2egym-bugsseq
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-bugsseq", revision="7d74af38496f8b3f232f6c85d804c1b089b81b6b") model = AutoModelForCausalLM.from_pretrained("laion/r2egym-bugsseq", revision="7d74af38496f8b3f232f6c85d804c1b089b81b6b", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/r2egym-bugsseq --revision 7d74af38496f8b3f232f6c85d804c1b089b81b6b
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
579d52e6349d36a43a8e2a425b4a3db5de1380d48e1022bb7e61b96160a3f14e
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-bugsseqDate: 2026-11-15Commit: 7d74af3Signed: 2DC28CC7B26A283B ✓
Upstream
laion/r2egym-bugsseq
Pinned commit
7d74af38496f8b3f232f6c85d804c1b089b81b6b
Manifest
r2egym-bugsseq.json · .minisig
Manifest sha256
6ea6877f4dd79364db54bac84e619b45c9541cd2ad9d4ed4be5f81ed1ea8fff5
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-bugsseq.json $ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-bugsseq.json.minisig $ minisign -Vm r2egym-bugsseq.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-bugsseq
Open in Freeweights Studio

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

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

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