alt.freeweights.text / r2egym-gpt5-codex-160ep-1M

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

r2egym-gpt5-codex-160ep-1M

Date: 2026-11-15Commit: f70ea99Signed: 2DC28CC7B26A283B ✓

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

0M params16.4GBr2egym-gpt5-codex-160ep-1Msafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/r2egym-gpt5-codex-160ep-1M
# manifest sha256 e276c89a737e… · 16.4 GB · 23 files
$ fw verify ./r2egym-gpt5-codex-160ep-1M laion/r2egym-gpt5-codex-160ep-1M

From sourceHosted (signed)laion/r2egym-gpt5-codex-160ep-1MLast check: 2026-11-15 04:20 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

Convert with

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.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 04:20 UTC	passed

Model card

From the publisher at commit f70ea99. Shown as plain text with links; images open at the publisher.

r2egym-gpt5-codex-160ep-1M#

This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/r2egym_gpt5_codex_solve_traces 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: 16
total_train_batch_size: 16
total_eval_batch_size: 128
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 4.56.0
Pytorch 2.9.0+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

File	Size	sha256
.gitattributes	1.57 KB	34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md	1.37 KB	9a61364439d8839e27d6a202adcba0994c8ae34051bf4edf5d59911f9db0f482
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	538 B	48197ff0abd572ece0e9af672c535049a6c50234439523f401f1058cc52a27db
chat_template.jinja	4.17 KB	a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json	1.54 KB	316a390edfedd339a84cdad9809dd175f3124f82c792e60907190aacc1676462
generation_config.json	188 B	bd9c7b7a2e47499fe3e6ff2fd47571750d979b5d2bba7908d0d293434c84bcd4
merges.txt	1.67 MB	8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors	4.90 GB	519c6b37badcec1380b216ceb35356fea8116fc0df98fed40565c324ab386b1c
model-00002-of-00004.safetensors	4.92 GB	030e5abc1559c53db6d09a4e26ecfd379fe6451dca3fe5456b509007513ab450
model-00003-of-00004.safetensors	4.98 GB	219f709b9d0bd613cade3605efc85a6be9a471a2be4bf2adc80b4edd4d928238
model-00004-of-00004.safetensors	1.58 GB	2b0b92f0b7e9642c183ea177ff9692279fa8f72042900f0d326979c550a0e7b8
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	498 B	49670bab688d059fe86c8bd20a25db4d57c3d414c0ef047a4ad825ee76954c62
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json	5.43 KB	776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json	538 B	48197ff0abd572ece0e9af672c535049a6c50234439523f401f1058cc52a27db
trainer_log.jsonl	65.8 KB	e721931050b27b9b3df72414fcd1b736c105d7ccbdf471f21130986d48c41124
trainer_state.json	105 KB	ba3fd33b5530534bd21b83bddc79dc57ec2c01cc5259d96d9eeaca3fb00a60ff
training_args.bin	8.72 KB	0170b9f48358835966e9d5b36e1ca171de58de86a537ecba59350cd4ad78c1d5
training_loss.png	43.6 KB	b64e232a2b2b67461d2e42b92f9de3b64d994e62e8a99748603a76d706866596
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
f70ea99f92 pinned now	2026-11-15 04:20 UTC	23 files · 16.4 GB

Use it

$ fw get laion/r2egym-gpt5-codex-160ep-1M
# manifest sha256 e276c89a737e… · 16.4 GB · 23 files
$ fw verify ./r2egym-gpt5-codex-160ep-1M laion/r2egym-gpt5-codex-160ep-1M

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

$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/r2egym-gpt5-codex-160ep-1M.json --dir ./r2egym-gpt5-codex-160ep-1M
$ python3 fw.py verify ./r2egym-gpt5-codex-160ep-1M ./laion__r2egym-gpt5-codex-160ep-1M.json

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

$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/r2egym-gpt5-codex-160ep-1M --revision f70ea99f928155961a19cb0d6f2ed2029d471848 --local-dir ./r2egym-gpt5-codex-160ep-1M

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-gpt5-codex-160ep-1M", revision="f70ea99f928155961a19cb0d6f2ed2029d471848")
model = AutoModelForCausalLM.from_pretrained("laion/r2egym-gpt5-codex-160ep-1M", revision="f70ea99f928155961a19cb0d6f2ed2029d471848", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/r2egym-gpt5-codex-160ep-1M --revision f70ea99f928155961a19cb0d6f2ed2029d471848

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: 9a61364439d8839e27d6a202adcba0994c8ae34051bf4edf5d59911f9db0f482
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-gpt5-codex-160ep-1MDate: 2026-11-15Commit: f70ea99Signed: 2DC28CC7B26A283B ✓

Upstream: laion/r2egym-gpt5-codex-160ep-1M
Pinned commit: f70ea99f928155961a19cb0d6f2ed2029d471848
Manifest: r2egym-gpt5-codex-160ep-1M.json · .minisig
Manifest sha256: e276c89a737ea23727ac646d113723be1b0b28ee144fe799808abcaca20ed876
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:20 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-gpt5-codex-160ep-1M.json
$ curl -O https://freeweights.allternit.com/manifests/laion/r2egym-gpt5-codex-160ep-1M.json.minisig
$ minisign -Vm r2egym-gpt5-codex-160ep-1M.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-gpt5-codex-160ep-1M

Open in Freeweights Studio

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

Signed manifest

minisign, key 2DC28CC7B26A283B. r2egym-gpt5-codex-160ep-1M.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/r2egym-gpt5-codex-160ep-1M

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r2egym-gpt5-codex-160ep-1M

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

r2egym-gpt5-codex-160ep-1M#

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

Related models