alt.freeweights.qwen / Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps

From: laion <huggingface.co/laion>Newsgroups: alt.freeweights.qwenSubject:

Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps

Date: 2026-11-15Commit: 614de46Signed: 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-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_stepssafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps
# manifest sha256 9490645e2540… · 16.4 GB · 23 files
$ fw verify ./Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps

From sourceHosted (signed)laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_stepsLast check: 2026-11-15 04:21 UTC

Run at home Get help

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

Fine-tune of Qwen3-8B.

Works with

Run24 Fine-tune29 Convert15 Evaluate13 Scan13 Apps58

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

vLLM exo Text Generation WebUI

SGLang MLC LLM KTransformers LMCache Xinference LMDeploy mistral.rs Mooncake FlashInfer

Show all 24

AIBrix fastllm ExLlamaV3

Transformers LocalAI tinygrad gpu-unlock Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

Convert with

mergekit TensorRT Model Optimizer

LLM Compressor Neural Compressor AutoRound AQLM GPTQModel ONNX Core ML Tools ExecuTorch

Show all 15

Evaluate with

Opik DeepEval Ragas lm-evaluation-harness OpenCompass SWE-bench

simple-evals TruLens HELM

LightEval

Evaluate Weave

Show all 13

Autoevals

Scan with

promptfoo garak Guardrails NeMo Guardrails Giskard DeepTeam AI Fairness 360 Fairlearn Detoxify MCP Scanner AgentDojo ModelScan

Show all 13

picklescan

Overview Model card Files Use it License Provenance Model 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

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 04:21 UTC	passed

Model card

From the publisher at commit 614de46. Shown as plain text with links; images open at the publisher.

Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps#

This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/exp-swd-r2egym-standard_glm_4.7_traces_locetash 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

File	Size	sha256
.gitattributes	1.57 KB	34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md	1.49 KB	67dc8070e7db232f9c8980c022484ea67b3afc52a5f937b5b48bbea32c4f9317
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	546 B	d67656c5bc3c7a8fd06aa5aaea0361c5ca7a2a3c6aa78c688d9e3d35ded38f6f
chat_template.jinja	4.17 KB	a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json	1.54 KB	56336d51ee7eb9d43a60e2f98f24861ada4c23651ade6f57e1b17a32a4b27ea0
generation_config.json	214 B	822104c6c325c580624bf4410dc001323325e01aaaa757af3870a5efe31c4ffa
merges.txt	1.67 MB	8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors	4.90 GB	a10df15f47f14f3373a24d0efeac580591fcba290024653e475763d9c6b04751
model-00002-of-00004.safetensors	4.92 GB	3e30d0cc109e51eb1ec3c82576a0209bb51475b98693fc071b876beef2aceb43
model-00003-of-00004.safetensors	4.98 GB	b3dc650e525bfb633e3139e49344a9a908fc45a7f5774607e5e692fd2cc0ce95
model-00004-of-00004.safetensors	1.58 GB	6c787348c0ba91adaa865ab94e9c3c92534bc951ad926f3b16c34f5cf3b3ddfd
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	561 B	eb1932d581243a76ffcd7db3b793d43bd9f625152bdb9428392ab680c1ea916f
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json	5.43 KB	776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json	546 B	d67656c5bc3c7a8fd06aa5aaea0361c5ca7a2a3c6aa78c688d9e3d35ded38f6f
trainer_log.jsonl	43.0 KB	d9b4735244787c6bf476bf39a9eb0feae06b6a1c739bdd7e5c7b45c71c21afda
trainer_state.json	72.8 KB	72a301d59dcb1199fbce4e3af5ae4ca41a79408372244d47ce38de3cd5e0ed26
training_args.bin	8.72 KB	0da009b463d4d04ecbc2f84bace43a2c7cd90220084a628e6a23b53f4faa1cb9
training_loss.png	39.6 KB	c77722c71a808ce85e520adcced7803fc6ce87a07d282320bd023fc3914d4c9a
vocab.json	2.78 MB	ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
614de465fb pinned now	2026-11-15 04:21 UTC	23 files · 16.4 GB

Use it

$ fw get laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps
# manifest sha256 9490645e2540… · 16.4 GB · 23 files
$ fw verify ./Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_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-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps.json --dir ./Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps
$ python3 fw.py verify ./Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps ./laion__Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_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-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps --revision 614de465fb05684b89a38d79fd997f28dab756f2 --local-dir ./Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_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-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps", revision="614de465fb05684b89a38d79fd997f28dab756f2")
model = AutoModelForCausalLM.from_pretrained("laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps", revision="614de465fb05684b89a38d79fd997f28dab756f2", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps --revision 614de465fb05684b89a38d79fd997f28dab756f2

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: 67dc8070e7db232f9c8980c022484ea67b3afc52a5f937b5b48bbea32c4f9317
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-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_stepsDate: 2026-11-15Commit: 614de46Signed: 2DC28CC7B26A283B ✓

Upstream: laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps
Pinned commit: 614de465fb05684b89a38d79fd997f28dab756f2
Manifest: Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps.json · .minisig
Manifest sha256: 9490645e25409143a002eff4f61d8e7b18e9d26d49afdd27755eb1a9f5395851
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:21 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps.json
$ curl -O https://freeweights.allternit.com/manifests/laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps.json.minisig
$ minisign -Vm Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_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-swd-r2egym-standard_glm_4.7_traces_locetash_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-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps

Related models

All of alt.freeweights.qwen →

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

Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

Qwen3-8B_exp-swd-r2egym-standard_glm_4.7_traces_locetash_save-strategy_steps#

Model description#

Intended uses & limitations#

Training and evaluation data#

Training procedure#

Training hyperparameters#

Training results#

Framework versions#

Files

Use it

License

Provenance

How to verify

Model tree

Related models