alt.freeweights.qwen / Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps
From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.qwenSubject:

Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps

Date: 2026-11-15Commit: 7119c5dSigned: 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_temp_0.5_traces_save-strategy_stepssafetensorspermissive
FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps
# manifest sha256 7ee3a1b4592b… · 16.4 GB · 23 files
$ fw verify ./Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps
From sourceHosted (signed)laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_stepsLast check: 2026-11-15 04:29 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.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 04:29 UTCpassed

Model card

From the publisher at commit 7119c5d. Shown as plain text with links; images open at the publisher.

Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp_tas_temp_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: 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.md1.42 KB4050abc768a56e84931e69cd84ba0cc4038c606884622400633d044e9f1d2ae6
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json548 Bb89a2147ec5e6fab70b0f84e2f18db487d5ac3b61004a6905747cf62bf8f9261
chat_template.jinja4.17 KBa55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json1.54 KB56336d51ee7eb9d43a60e2f98f24861ada4c23651ade6f57e1b17a32a4b27ea0
generation_config.json214 B822104c6c325c580624bf4410dc001323325e01aaaa757af3870a5efe31c4ffa
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.90 GB60479717286f7e3ecc7944ff64fb1914869372e64d4ee3e9d21752bc9fb242eb
model-00002-of-00004.safetensors4.92 GB9f1b43f270eab31309640e66800b59687f94d59bc0f9d93bff7496b7c572cbbf
model-00003-of-00004.safetensors4.98 GBd1be91854fe58db7d7accb99c1a46d3c9052a36ad4a8e67ac3e898e5aacf13b0
model-00004-of-00004.safetensors1.58 GB0bd8d14b49ee9d300ad53a11b340fae9112f4dc3ab4682900c6eb801009d911d
model.safetensors.index.json32.9 KB9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json489 B92fcdb3b873bc349732c6d862832b5782f148a875734707206ed3be4299d0e88
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json5.43 KB776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json548 Bb89a2147ec5e6fab70b0f84e2f18db487d5ac3b61004a6905747cf62bf8f9261
trainer_log.jsonl106 KBa737eabd4138cb1996553a984a9004a25c5c14f55746470668e41fd3d1489827
trainer_state.json159 KB58919c761550015a5673b9dc757bc7afce339bad21197871f42891658cf54d72
training_args.bin8.72 KBd635a6c2d6a189b1fae99633ed0e797057617a2dd404b921c741be116d35f769
training_loss.png38.1 KB3efaa95d06a89b3afae74052c8ea2039f00e98b07700ca105a7e8463d65a58b4
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
7119c5d3eb pinned now2026-11-15 04:29 UTC23 files · 16.4 GB

Use it

$ fw get laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps
# manifest sha256 7ee3a1b4592b… · 16.4 GB · 23 files
$ fw verify ./Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps laion/Qwen3-8B_exp_tas_temp_0.5_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_temp_0.5_traces_save-strategy_steps.json --dir ./Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps $ python3 fw.py verify ./Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps ./laion__Qwen3-8B_exp_tas_temp_0.5_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_temp_0.5_traces_save-strategy_steps --revision 7119c5d3eb11b5ee4b077506b7eb9fcf8d1f2193 --local-dir ./Qwen3-8B_exp_tas_temp_0.5_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_temp_0.5_traces_save-strategy_steps", revision="7119c5d3eb11b5ee4b077506b7eb9fcf8d1f2193") model = AutoModelForCausalLM.from_pretrained("laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps", revision="7119c5d3eb11b5ee4b077506b7eb9fcf8d1f2193", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps --revision 7119c5d3eb11b5ee4b077506b7eb9fcf8d1f2193

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
4050abc768a56e84931e69cd84ba0cc4038c606884622400633d044e9f1d2ae6
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_temp_0.5_traces_save-strategy_stepsDate: 2026-11-15Commit: 7119c5dSigned: 2DC28CC7B26A283B ✓
Upstream
laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps
Pinned commit
7119c5d3eb11b5ee4b077506b7eb9fcf8d1f2193
Manifest
Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps.json · .minisig
Manifest sha256
7ee3a1b4592bc582a7f558d76addbd4412fbdafd180042d95c7d91e689d65f99
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/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps.json $ curl -O https://freeweights.allternit.com/manifests/laion/Qwen3-8B_exp_tas_temp_0.5_traces_save-strategy_steps.json.minisig $ minisign -Vm Qwen3-8B_exp_tas_temp_0.5_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_temp_0.5_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_temp_0.5_traces_save-strategy_steps.json. Provenance. Takedown history: none.
From: BAAI <huggingface.co/BAAI>Subject: Aquila-VL-2B-llava-qwen
From: Perciqa <huggingface.co/Perciqa>Subject: Aurora-Code-1
From: BAAI <huggingface.co/BAAI>Subject: bge-reasoner-embed-qwen3-8b-0923
From: amazon <huggingface.co/amazon>Subject: BMOJOF-primed-HQwen3-8B-Instruct
From: nbeerbower <huggingface.co/nbeerbower>Subject: Bubba-Qwen3.6-27B-LoRA
From: bartowski <huggingface.co/bartowski>Subject: bytkim_Qwen3.8-27B-pi-GGUF