alt.freeweights.glm / exp-uns-tezos-128unique_glm_4_7_traces_jupiter

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

exp-uns-tezos-128unique_glm_4_7_traces_jupiter

Date: 2026-11-15Commit: 828979fSigned: 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-128unique_glm_4_7_traces_jupitersafetensorspermissive

FactsParams0MSize16.4 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive

$ fw get laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter
# manifest sha256 96f9ae768e3b… · 16.4 GB · 23 files
$ fw verify ./exp-uns-tezos-128unique_glm_4_7_traces_jupiter laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter

From sourceHosted (signed)laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiterLast check: 2026-11-15 04:22 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 04:22 UTC	passed

Model card

From the publisher at commit 828979f. Shown as plain text with links; images open at the publisher.

exp-uns-tezos-128unique_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-128unique_glm_4.7_traces_jupiter/snapshots/5ebf6b71b26c9bd310c3a8bf81a6a67814f9a6a7_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	1.60 KB	9a4f3d2c1bd2911f0065f948577bffa897f7e6411168c449181c49145b99e5f3
added_tokens.json	707 B	c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
all_results.json	540 B	470b46c30442efc48e230d1a1d8737333c9b56e3b7c0af81aa1a7e6de10e9aba
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	3c4c8275cd28c5e12179af8e199b4fba4c956eb81c88a238a179ea1ca22ec8ba
model-00002-of-00004.safetensors	4.92 GB	cb64c293cfd9cd1cec3d67941521f5188d26a61acfffff3a37580ad93563c436
model-00003-of-00004.safetensors	4.98 GB	e4495b9eb5c5004e2a3e6cac6f32d0bb96c5f3f6185a9aee6989cba87d63a040
model-00004-of-00004.safetensors	1.58 GB	d1d774c2cd93be1265472f652279236e464bbfda5dc288d62fcad092bff15a8d
model.safetensors.index.json	32.9 KB	9befa4b90440360a9eea244d7c3ab235d0df1e536929078af008d1895522ec7e
run_summary.json	722 B	94ed93c79dfc04e4698b1247e16f8fe4d5befd29df900429669ccc5a5f4a54ce
special_tokens_map.json	613 B	76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json	11.4 MB	aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json	5.43 KB	776e3ac0537ac47639ddbfd840314938cfb7188be09f7436ed6704efb338ac77
train_results.json	540 B	470b46c30442efc48e230d1a1d8737333c9b56e3b7c0af81aa1a7e6de10e9aba
trainer_log.jsonl	173 KB	26b14e591e18cec24e19eef70ca2e7651de9c5060ca48b7120bd3825473579d3
trainer_state.json	277 KB	c5c4101fef7114eb33c87c420b77294aa764b8db193161184eb25cdbeaf24423
training_args.bin	8.66 KB	86c8754757c8bf21553458f2c2131e27d5a2ec4917906803a153a36235d8729b
training_loss.png	43.4 KB	a924e9166b3b797c0c64cd241aec29208a6e0650934573b8e24df829971508ea
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
828979f9c9 pinned now	2026-11-15 04:22 UTC	23 files · 16.4 GB

Use it

$ fw get laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter
# manifest sha256 96f9ae768e3b… · 16.4 GB · 23 files
$ fw verify ./exp-uns-tezos-128unique_glm_4_7_traces_jupiter laion/exp-uns-tezos-128unique_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-128unique_glm_4_7_traces_jupiter.json --dir ./exp-uns-tezos-128unique_glm_4_7_traces_jupiter
$ python3 fw.py verify ./exp-uns-tezos-128unique_glm_4_7_traces_jupiter ./laion__exp-uns-tezos-128unique_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-128unique_glm_4_7_traces_jupiter --revision 828979f9c96e7fd03d494fbe2ab544834c7146c9 --local-dir ./exp-uns-tezos-128unique_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-128unique_glm_4_7_traces_jupiter", revision="828979f9c96e7fd03d494fbe2ab544834c7146c9")
model = AutoModelForCausalLM.from_pretrained("laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter", revision="828979f9c96e7fd03d494fbe2ab544834c7146c9", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter --revision 828979f9c96e7fd03d494fbe2ab544834c7146c9

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: 9a4f3d2c1bd2911f0065f948577bffa897f7e6411168c449181c49145b99e5f3
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-128unique_glm_4_7_traces_jupiterDate: 2026-11-15Commit: 828979fSigned: 2DC28CC7B26A283B ✓

Upstream: laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter
Pinned commit: 828979f9c96e7fd03d494fbe2ab544834c7146c9
Manifest: exp-uns-tezos-128unique_glm_4_7_traces_jupiter.json · .minisig
Manifest sha256: 96f9ae768e3b006f16e9418b49c9d0e4cff32f18ec90f1b414482fb69ba44a0d
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 04:22 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter.json
$ curl -O https://freeweights.allternit.com/manifests/laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter.json.minisig
$ minisign -Vm exp-uns-tezos-128unique_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-128unique_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-128unique_glm_4_7_traces_jupiter.json. Provenance. Takedown history: none.

Source

huggingface.co/laion/exp-uns-tezos-128unique_glm_4_7_traces_jupiter

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exp-uns-tezos-128unique_glm_4_7_traces_jupiter

Works with

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Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

exp-uns-tezos-128unique_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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