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

exp_tas_optimal_combined_traces

Date: 2026-11-15Commit: 1e2ff02Signed: 2DC28CC7B26A283B ✓

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

0M params16.4GBexp_tas_optimal_combined_tracessafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/exp_tas_optimal_combined_traces
# manifest sha256 b15f3d4558bb… · 16.4 GB · 23 files
$ fw verify ./exp_tas_optimal_combined_traces laion/exp_tas_optimal_combined_traces
From sourceHosted (signed)laion/exp_tas_optimal_combined_tracesLast check: 2026-11-15 04:28 UTC

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

Fine-tune of Qwen3-8B.

Works with

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 04:28 UTCpassed

Model card

From the publisher at commit 1e2ff02. Shown as plain text with links; images open at the publisher.

exp_tas_optimal_combined_traces#

This model is a fine-tuned version of Qwen/Qwen3-8B on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--exp_tas_optimal_combined_traces/snapshots/ebbeebd254227e227eae6f6f3f25dd76407c5d1c_thinking_preprocessed 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: 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
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md1.55 KBff6ef718be816277654b44bc9ee9cef07bf2bd2eba87d71ba3aa15b4aa46e8cd
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json537 Bbdfba9133781ee27c51c61a7226d137c97defae150756a108d9462cf98e453c8
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KBed36641e183b3d95dcefad8906aa22d183c445e4b582c8a0ca7d71a713c85f2d
generation_config.json188 B3b101cd89b140b757d0bca469e75570e75789a2423ada90a33ec17707dfacf08
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GBa27de8e000c12a8f44292bf11f669f867c413377283579acec2f106dce87dd29
model-00002-of-00004.safetensors4.92 GBf2863eef4d0dfa2cb37f04940a8ead85dbec92ff990f0bc0e81959265e9d4c63
model-00003-of-00004.safetensors4.98 GBf6ea188debf8f0ff0bfdeda5bc78808c5c3fe8ccb76fe8a50fc77214d1dc563d
model-00004-of-00004.safetensors1.58 GB6d4e63b1c1a8319780f42ee90f967f49995e59b3c2765b23e2457cb625545338
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json695 Bcde415c70bde87aa14b3209cdef6769876f9e0ce4ad0ae5d1e4c349082ae4282
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json537 Bbdfba9133781ee27c51c61a7226d137c97defae150756a108d9462cf98e453c8
trainer_log.jsonl155 KB39d045a1c64ca44801df886039779b52352139fcacf59da1e9b6706ddbe466ed
trainer_state.json248 KB40ed729eeafc738a7376c6b082cdb23d09c428b50e5749f28e88476ceb0e12c0
training_args.bin8.59 KB9a92ec062620d6e155a6b92bf41d4642681cdf122cae251832d20bc409036174
training_loss.png46.9 KB2907bb3c58d67a36df02211710f83e0cedaf80b06e8c50ca69b709054aa320b2
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
1e2ff02169 pinned now2026-11-15 04:28 UTC23 files · 16.4 GB

Use it

$ fw get laion/exp_tas_optimal_combined_traces
# manifest sha256 b15f3d4558bb… · 16.4 GB · 23 files
$ fw verify ./exp_tas_optimal_combined_traces laion/exp_tas_optimal_combined_traces
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/exp_tas_optimal_combined_traces.json --dir ./exp_tas_optimal_combined_traces $ python3 fw.py verify ./exp_tas_optimal_combined_traces ./laion__exp_tas_optimal_combined_traces.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/exp_tas_optimal_combined_traces --revision 1e2ff021694bba1a1eb1531b8133ba1348b75b3a --local-dir ./exp_tas_optimal_combined_traces
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/exp_tas_optimal_combined_traces", revision="1e2ff021694bba1a1eb1531b8133ba1348b75b3a") model = AutoModelForCausalLM.from_pretrained("laion/exp_tas_optimal_combined_traces", revision="1e2ff021694bba1a1eb1531b8133ba1348b75b3a", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp_tas_optimal_combined_traces --revision 1e2ff021694bba1a1eb1531b8133ba1348b75b3a

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
ff6ef718be816277654b44bc9ee9cef07bf2bd2eba87d71ba3aa15b4aa46e8cd
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: exp_tas_optimal_combined_tracesDate: 2026-11-15Commit: 1e2ff02Signed: 2DC28CC7B26A283B ✓
Upstream
laion/exp_tas_optimal_combined_traces
Pinned commit
1e2ff021694bba1a1eb1531b8133ba1348b75b3a
Manifest
exp_tas_optimal_combined_traces.json · .minisig
Manifest sha256
b15f3d4558bbdb3b9c8cfaa92c056a8955bcb5a084e3cf0717d2ebc1c9b134fa
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:28 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

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

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

Signed manifest
minisign, key 2DC28CC7B26A283B. exp_tas_optimal_combined_traces.json. Provenance. Takedown history: none.
From: laion <huggingface.co/laion>Subject: a2-rl-e2egit_large-50-32B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-v2-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_pymethods2test-large-80-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_unitsyn-python-large-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_mix_h2_language_proportional-65-8B