alt.freeweights.text / exp_tas_repetition_penalty_1_2_traces
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.textSubject:

exp_tas_repetition_penalty_1_2_traces

Date: 2026-11-15Commit: c57919cSigned: 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_repetition_penalty_1_2_tracessafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/exp_tas_repetition_penalty_1_2_traces
# manifest sha256 3c1611fa6471… · 16.4 GB · 23 files
$ fw verify ./exp_tas_repetition_penalty_1_2_traces laion/exp_tas_repetition_penalty_1_2_traces
From sourceHosted (signed)laion/exp_tas_repetition_penalty_1_2_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 c57919c. Shown as plain text with links; images open at the publisher.

exp_tas_repetition_penalty_1_2_traces#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp_tas_repetition_penalty_1.2_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: 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 4.57.3
  • 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
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md1.43 KB8ba10c606a7a7a0b32a97ca550bef38d3b62fae55f83dbdeefe73e8916161094
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json539 B579bd3536c420d870a9b4dd9702d6963f2d9e0d8b3d75a006473d2f1d4f2209f
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KBba0034e547c55d23e895919cd5ae10d05eefdda9562463b2c4a4c0fbeb32d698
generation_config.json188 Bd62d5449628acccf95dca468b1ff99002b3d0d428dfcdbe132f1be35a815a97b
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GBe8ea3e4fa6bf94cc68bfda0faefad014f9bacf6f9a5841e1cbfe730e7c5cfc74
model-00002-of-00004.safetensors4.92 GB803a3ae9eec3ce183d42842f0f548f37637da681adb3c4fea78f83754e7bab24
model-00003-of-00004.safetensors4.98 GB7aff688bd9e6275bb8394ec94a9e81d2356a3a1a5ff12f948ba9c560bc35ea31
model-00004-of-00004.safetensors1.58 GB1a68dbc0b36d75b28cd12f615e3d96ddbb89f5050a2dc415ef223bcedcd2b476
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json492 Bdf6a417973a89abe9f71b20843331803c53f9d871bc777df12f1f53f09981424
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json539 B579bd3536c420d870a9b4dd9702d6963f2d9e0d8b3d75a006473d2f1d4f2209f
trainer_log.jsonl154 KB0a5aac05801b9b351b09ee087b1a36b7324771492c24612673661018bb670649
trainer_state.json247 KB470909c5b93d18f576d634576e211fd5a176c1b45cc0b4edbb64cbb8a763dc24
training_args.bin8.66 KBb0aa25f39f25a4b8b1e8158b5fcdcd40f14b02875640d669de354dd4734c0869
training_loss.png63.2 KB43f886de108e9f9b00d0c102c84615cecc8b43eaefbc8142688c0860788cee67
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
c57919cbb6 pinned now2026-11-15 04:28 UTC23 files · 16.4 GB

Use it

$ fw get laion/exp_tas_repetition_penalty_1_2_traces
# manifest sha256 3c1611fa6471… · 16.4 GB · 23 files
$ fw verify ./exp_tas_repetition_penalty_1_2_traces laion/exp_tas_repetition_penalty_1_2_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_repetition_penalty_1_2_traces.json --dir ./exp_tas_repetition_penalty_1_2_traces $ python3 fw.py verify ./exp_tas_repetition_penalty_1_2_traces ./laion__exp_tas_repetition_penalty_1_2_traces.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/exp_tas_repetition_penalty_1_2_traces --revision c57919cbb67dd452a78e88fdd37f611fbfcbc342 --local-dir ./exp_tas_repetition_penalty_1_2_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_repetition_penalty_1_2_traces", revision="c57919cbb67dd452a78e88fdd37f611fbfcbc342") model = AutoModelForCausalLM.from_pretrained("laion/exp_tas_repetition_penalty_1_2_traces", revision="c57919cbb67dd452a78e88fdd37f611fbfcbc342", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp_tas_repetition_penalty_1_2_traces --revision c57919cbb67dd452a78e88fdd37f611fbfcbc342

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
8ba10c606a7a7a0b32a97ca550bef38d3b62fae55f83dbdeefe73e8916161094
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_repetition_penalty_1_2_tracesDate: 2026-11-15Commit: c57919cSigned: 2DC28CC7B26A283B ✓
Upstream
laion/exp_tas_repetition_penalty_1_2_traces
Pinned commit
c57919cbb67dd452a78e88fdd37f611fbfcbc342
Manifest
exp_tas_repetition_penalty_1_2_traces.json · .minisig
Manifest sha256
3c1611fa64710982dc13c2f3980c6d0d8d3b4843cad47088d4d40d4bcdc30594
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_repetition_penalty_1_2_traces.json $ curl -O https://freeweights.allternit.com/manifests/laion/exp_tas_repetition_penalty_1_2_traces.json.minisig $ minisign -Vm exp_tas_repetition_penalty_1_2_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_repetition_penalty_1_2_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_repetition_penalty_1_2_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