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alt.freeweights.text / exp_tas_frequency_penalty_0_5_traces
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.textSubject:

exp_tas_frequency_penalty_0_5_traces

Date: 2026-11-15Commit: 8b8ef11Signed: 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_frequency_penalty_0_5_tracessafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/exp_tas_frequency_penalty_0_5_traces
# manifest sha256 5a47b85232dc… · 16.4 GB · 23 files
$ fw verify ./exp_tas_frequency_penalty_0_5_traces laion/exp_tas_frequency_penalty_0_5_traces
From sourceHosted (signed)laion/exp_tas_frequency_penalty_0_5_tracesLast check: 2026-11-15 04:29 UTC
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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 04:29 UTCpassed

Model card

From the publisher at commit 8b8ef11. Shown as plain text with links; images open at the publisher.

exp_tas_frequency_penalty_0_5_traces#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp_tas_frequency_penalty_0.5_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 KB52bc0605a9fe8eced4e9dd45dfe507313dae5bd079756bcd69f4c53536ca76f2
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json542 B03e20686e11220519d9d11b06689492016ee5e0dd9e3565a9dd81c2d6fd3d031
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KBba0034e547c55d23e895919cd5ae10d05eefdda9562463b2c4a4c0fbeb32d698
generation_config.json188 Bd62d5449628acccf95dca468b1ff99002b3d0d428dfcdbe132f1be35a815a97b
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GB7ce677a6bc22bf9e05ff50ac5ce8b977a624b5a3ddbc2ac56b20c8c725cb1aa5
model-00002-of-00004.safetensors4.92 GBafba5f57c586862696f5fd6618307206d9986b9f875182e786d766c8ebb459b7
model-00003-of-00004.safetensors4.98 GBfec217af05e234cf778367b9c76289b94efb560b40b3702fc54a74296fdba0f6
model-00004-of-00004.safetensors1.58 GB61da1f04f2c5843e80ed7e7a3ad2b57ba8611dd910630f6e70d3323fa48e6667
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json491 Bf80404d0e9c1139f6ff701d2709b01cbcde1aa5c7761492769067593fa95908d
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json542 B03e20686e11220519d9d11b06689492016ee5e0dd9e3565a9dd81c2d6fd3d031
trainer_log.jsonl172 KB37395ddac695821bae072252a5685914f879807b1e3842b7c1729699b40a1ad1
trainer_state.json275 KBe67816bba9731cdcdf019f3209be2a8bc686e775894f899ad45381f253134244
training_args.bin8.66 KB22f491c50f68139a95960093f89f7650ebdcc20171d214adfecd8416c407fa8b
training_loss.png62.8 KB4cf17a7dbe20556747d7eae47fd7004ab50cf0d50dd07e4714796e86394c1986
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
8b8ef11db5 pinned now2026-11-15 04:29 UTC23 files · 16.4 GB

Use it

$ fw get laion/exp_tas_frequency_penalty_0_5_traces
# manifest sha256 5a47b85232dc… · 16.4 GB · 23 files
$ fw verify ./exp_tas_frequency_penalty_0_5_traces laion/exp_tas_frequency_penalty_0_5_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_frequency_penalty_0_5_traces.json --dir ./exp_tas_frequency_penalty_0_5_traces $ python3 fw.py verify ./exp_tas_frequency_penalty_0_5_traces ./laion__exp_tas_frequency_penalty_0_5_traces.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/exp_tas_frequency_penalty_0_5_traces --revision 8b8ef11db581411ac0f10736ceced0f1a17f7b22 --local-dir ./exp_tas_frequency_penalty_0_5_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_frequency_penalty_0_5_traces", revision="8b8ef11db581411ac0f10736ceced0f1a17f7b22") model = AutoModelForCausalLM.from_pretrained("laion/exp_tas_frequency_penalty_0_5_traces", revision="8b8ef11db581411ac0f10736ceced0f1a17f7b22", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp_tas_frequency_penalty_0_5_traces --revision 8b8ef11db581411ac0f10736ceced0f1a17f7b22
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
52bc0605a9fe8eced4e9dd45dfe507313dae5bd079756bcd69f4c53536ca76f2
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_frequency_penalty_0_5_tracesDate: 2026-11-15Commit: 8b8ef11Signed: 2DC28CC7B26A283B ✓
Upstream
laion/exp_tas_frequency_penalty_0_5_traces
Pinned commit
8b8ef11db581411ac0f10736ceced0f1a17f7b22
Manifest
exp_tas_frequency_penalty_0_5_traces.json · .minisig
Manifest sha256
5a47b85232dc5e72adc97da75d7e02b313be55c6c4be3164203dd32d5db017aa
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:29 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/exp_tas_frequency_penalty_0_5_traces.json $ curl -O https://freeweights.allternit.com/manifests/laion/exp_tas_frequency_penalty_0_5_traces.json.minisig $ minisign -Vm exp_tas_frequency_penalty_0_5_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_frequency_penalty_0_5_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_frequency_penalty_0_5_traces.json. Provenance. Takedown history: none.
Source
huggingface.co/laion/exp_tas_frequency_penalty_0_5_traces

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