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alt.freeweights.qwen / Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.qwenSubject:

Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps

Date: 2026-11-15Commit: 067c990Signed: 2DC28CC7B26A283B ✓

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

0M params16.4GBQwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_stepssafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
# manifest sha256 cb22b3c18ca6… · 16.4 GB · 23 files
$ fw verify ./Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
From sourceHosted (signed)laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_stepsLast check: 2026-11-15 04:27 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.qwen
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 04:27 UTCpassed

Model card

From the publisher at commit 067c990. Shown as plain text with links; images open at the publisher.

Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp_tas_trajectory_minimal_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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 32
  • total_train_batch_size: 32
  • total_eval_batch_size: 256
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.87,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.005
  • num_epochs: 8.0
Training results#
Framework versions#
  • Transformers 4.55.0
  • Pytorch 2.7.1+cu128
  • Datasets 3.6.0
  • Tokenizers 0.21.1

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.md1.45 KB9cd1446c98508b6a5e31b93ef013306fd8ec8e6c489025ee6453e3e060bb0e01
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json547 B0f708777c0a2b4cc6f1f9138ce8122b1df31e54c042aa7da7f09bd97e1a9bfc4
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KB56336d51ee7eb9d43a60e2f98f24861ada4c23651ade6f57e1b17a32a4b27ea0
generation_config.json214 B822104c6c325c580624bf4410dc001323325e01aaaa757af3870a5efe31c4ffa
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GBa2db297eae8d5f81da570dedca74e05fd5266fa09d803fa8c1119de5edd4fa9f
model-00002-of-00004.safetensors4.92 GB3330e00ca95ad52dafc3575f6aa2fbb0d7d72c6504a67f6d0512fd7d42333620
model-00003-of-00004.safetensors4.98 GB7c12e007a9654b1d69f64180f0859399576fb658be8fa6a3509101be71efb879
model-00004-of-00004.safetensors1.58 GBed8ddab475e863e62de67cbf1428d4fbe12bb62fe6d304cc46cf70004d25b2a4
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json519 Bc78ef5d82baf2b64d10d110a45201c0aa6ccdd89f2871ab897395c09d29ed772
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json547 B0f708777c0a2b4cc6f1f9138ce8122b1df31e54c042aa7da7f09bd97e1a9bfc4
trainer_log.jsonl102 KB60e0c8c6dacfa1bd4df7751218a741b70b22ba0b84ff0109a22f444ff1ff7d38
trainer_state.json159 KBd79ec08cb91b7f59096c3d3658c30a9617629cfb4f4f5567715e7e14564e0fae
training_args.bin8.79 KBfaacfc9dc49c9b9c03e106bfe6543a7f09b6c0b589206d8e46c8f3400b909ef6
training_loss.png37.7 KBaf6f9c47e5d1e882f3591c30aed88b3457267adfed306b0230e36989867e5cca
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
067c99056d pinned now2026-11-15 04:27 UTC23 files · 16.4 GB

Use it

$ fw get laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
# manifest sha256 cb22b3c18ca6… · 16.4 GB · 23 files
$ fw verify ./Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.json --dir ./Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps $ python3 fw.py verify ./Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps ./laion__Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps --revision 067c99056d31a9590b75811940456efbbfb8b0c8 --local-dir ./Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
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/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps", revision="067c99056d31a9590b75811940456efbbfb8b0c8") model = AutoModelForCausalLM.from_pretrained("laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps", revision="067c99056d31a9590b75811940456efbbfb8b0c8", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps --revision 067c99056d31a9590b75811940456efbbfb8b0c8
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
9cd1446c98508b6a5e31b93ef013306fd8ec8e6c489025ee6453e3e060bb0e01
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.qwenSubject: Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_stepsDate: 2026-11-15Commit: 067c990Signed: 2DC28CC7B26A283B ✓
Upstream
laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
Pinned commit
067c99056d31a9590b75811940456efbbfb8b0c8
Manifest
Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.json · .minisig
Manifest sha256
cb22b3c18ca6f18d414d9f8078dca7d3a22c8a0adeb502b6f5857332183ac649
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:27 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.json $ curl -O https://freeweights.allternit.com/manifests/laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.json.minisig $ minisign -Vm Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.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/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps.json. Provenance. Takedown history: none.
Source
huggingface.co/laion/Qwen3-8B_exp_tas_trajectory_minimal_traces_save-strategy_steps

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