alt.freeweights.glm / exp-uns-tezos-1unique_glm_4_7_traces_jupiter

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

exp-uns-tezos-1unique_glm_4_7_traces_jupiter

Date: 2026-11-15Commit: 0b5ad3bSigned: 2DC28CC7B26A283B ✓

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

0M params16.4GBexp-uns-tezos-1unique_glm_4_7_traces_jupitersafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter
# manifest sha256 74c0e9fbcaac… · 16.4 GB · 23 files
$ fw verify ./exp-uns-tezos-1unique_glm_4_7_traces_jupiter laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter

From sourceHosted (signed)laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiterLast check: 2026-11-15 04:26 UTC

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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

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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

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Evaluate with

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

simple-evals TruLens HELM

LightEval

Evaluate Weave

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Autoevals

Scan with

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

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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.glm

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 04:26 UTC	passed

Model card

From the publisher at commit 0b5ad3b. Shown as plain text with links; images open at the publisher.

exp-uns-tezos-1unique_glm_4_7_traces_jupiter#

This model is a fine-tuned version of Qwen/Qwen3-8B on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--exp-uns-tezos-1unique_glm_4.7_traces_jupiter/snapshots/dd13e02072dc3dae998e1dd63aa3e3fd8e5eb123_thinking_preprocessed 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 4.57.6
Pytorch 2.9.0+cu128
Datasets 4.4.1
Tokenizers 0.22.2

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	1.59 KB	d34205d9bd31281a37b58c2c372ab3acd513cfc65e23890cbf05a35cac6ef9cc
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	538 B	cbd6aa1653d367125e690674e811440afd4d9acbd05c8728735c88643ef9ed9f
chat_template.jinja	4.17 KB	a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
config.json	1.54 KB	ed36641e183b3d95dcefad8906aa22d183c445e4b582c8a0ca7d71a713c85f2d
generation_config.json	188 B	3b101cd89b140b757d0bca469e75570e75789a2423ada90a33ec17707dfacf08
merges.txt	1.67 MB	8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors	4.90 GB	8e6715d556ff851909b89b4559be286f160980557c8a9ba7b41eef027b474c83
model-00002-of-00004.safetensors	4.92 GB	3358a77f5829cd48a6dd2414901fa760af68e78769b4f187309e70ba82ff04be
model-00003-of-00004.safetensors	4.98 GB	aa78204e910378b799aabf7eb3ecd5fa7282f9a09520182da214fad9c8891150
model-00004-of-00004.safetensors	1.58 GB	757bbb47e5b344ab83dc24021c447b685f913c850f0894cd8f4d3936518edffb
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	716 B	4f2bd53ed009e5b741ed29c1d1e17b53cadadc45fd8c425fd475d7af35ddb606
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json	5.43 KB	776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json	538 B	cbd6aa1653d367125e690674e811440afd4d9acbd05c8728735c88643ef9ed9f
trainer_log.jsonl	166 KB	e58edddbe517685334df61d3658e13636a2f9807ee5d680da046b8580f466071
trainer_state.json	266 KB	9591a9067518a5d84cc11ddc07c21d20dc6694b078621c114974347c093190b0
training_args.bin	8.66 KB	4819998c40f87e26875b4710fb1936c5312abb820d93f5d83273237a442a9da7
training_loss.png	36.9 KB	0bf325d8981b69cc7e11bb55e5e2ca055b7df8cb2191411e0ac31b6b5349ec21
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
0b5ad3bdfa pinned now	2026-11-15 04:26 UTC	23 files · 16.4 GB

Use it

$ fw get laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter
# manifest sha256 74c0e9fbcaac… · 16.4 GB · 23 files
$ fw verify ./exp-uns-tezos-1unique_glm_4_7_traces_jupiter laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter.json --dir ./exp-uns-tezos-1unique_glm_4_7_traces_jupiter
$ python3 fw.py verify ./exp-uns-tezos-1unique_glm_4_7_traces_jupiter ./laion__exp-uns-tezos-1unique_glm_4_7_traces_jupiter.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter --revision 0b5ad3bdfae36c254f8abcacf83b7f61b9710f25 --local-dir ./exp-uns-tezos-1unique_glm_4_7_traces_jupiter

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-uns-tezos-1unique_glm_4_7_traces_jupiter", revision="0b5ad3bdfae36c254f8abcacf83b7f61b9710f25")
model = AutoModelForCausalLM.from_pretrained("laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter", revision="0b5ad3bdfae36c254f8abcacf83b7f61b9710f25", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter --revision 0b5ad3bdfae36c254f8abcacf83b7f61b9710f25

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: d34205d9bd31281a37b58c2c372ab3acd513cfc65e23890cbf05a35cac6ef9cc
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.glmSubject: exp-uns-tezos-1unique_glm_4_7_traces_jupiterDate: 2026-11-15Commit: 0b5ad3bSigned: 2DC28CC7B26A283B ✓

Upstream: laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter
Pinned commit: 0b5ad3bdfae36c254f8abcacf83b7f61b9710f25
Manifest: exp-uns-tezos-1unique_glm_4_7_traces_jupiter.json · .minisig
Manifest sha256: 74c0e9fbcaacbedcf7c6016d58cbda0180e881f5752f50e9d931c08a86807a3f
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:26 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter.json
$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter.json.minisig
$ minisign -Vm exp-uns-tezos-1unique_glm_4_7_traces_jupiter.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-uns-tezos-1unique_glm_4_7_traces_jupiter

Open in Freeweights Studio

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

Signed manifest

minisign, key 2DC28CC7B26A283B. exp-uns-tezos-1unique_glm_4_7_traces_jupiter.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/exp-uns-tezos-1unique_glm_4_7_traces_jupiter

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exp-uns-tezos-1unique_glm_4_7_traces_jupiter

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

exp-uns-tezos-1unique_glm_4_7_traces_jupiter#

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

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