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Open-weight model

qwen3-8b-moe-merge-merged

by Cokoro cokoro/qwen3-8b-moe-merge-merged

qwen3-8b-moe-merge-merged is an open-weight model from Cokoro, released under Apache License 2.0. Its published files total 16.9 GB.

Base: Qwen/Qwen3-8B @ b968826d9c46dd6066d109eabc6255188de91218 (bf16, non-thinking chat template qwen3nothink.jinja from the experiment repo).

Parameters—
Context—
Weights16.9 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Cokoro, published under apache-2.0, revision 321f8df747e0.

Base: Qwen/Qwen3-8B @ b968826d9c46dd6066d109eabc6255188de91218 (bf16, non-thinking chat template qwen3nothink.jinja from the experiment repo). Part of a multi-expert training + merging experiment on SWE-bench Pro v2-hard, HLE, ASI-Bench and Terminal-Bench 2.0. - mergedties/ - mopd/ - mergedlinearlora64/ - mergedlinear/ Recipes, data sources/licenses, evaluation protocol and results: see the experiment repository (models/README.md, data/README.md, configs/eval/benchmarks.yaml, results/summary.csv). Full-weight subfolders load with AutoModelForCausalLM.frompretrained("cokoro/qwen3-8b-moe-merge-merged", subfolder=" "). Limitations: experts were trained on small/proxy data (GSM8K for HLE…

Read Cokoro's full model card

Merged models (linear, TIES) and MOPD student

Base: Qwen/Qwen3-8B @ b968826d9c46dd6066d109eabc6255188de91218 (bf16, non-thinking chat template qwen3_nothink.jinja from the experiment repo). Part of a multi-expert training + merging experiment on SWE-bench Pro v2-hard, HLE, ASI-Bench and Terminal-Bench 2.0.

Contents: - merged_ties/ - mopd/ - merged_linear_lora64/ - merged_linear/

Recipes, data sources/licenses, evaluation protocol and results: see the experiment repository (models/README.md, data/README.md, configs/eval/benchmarks.yaml, results/summary.csv).

Load a LoRA subfolder:

from transformers import AutoModelForCausalLM
from peft import PeftModel
m = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B", revision="b968826d9c46dd6066d109eabc6255188de91218", dtype="bfloat16")
m = PeftModel.from_pretrained(m, "cokoro/qwen3-8b-moe-merge-merged", subfolder="<subfolder>")

Full-weight subfolders load with AutoModelForCausalLM.from_pretrained("cokoro/qwen3-8b-moe-merge-merged", subfolder="<subfolder>").

Limitations: experts were trained on small/proxy data (GSM8K for HLE, CommonsenseQA templates for ASI); scores on all four benchmarks are low for this 8B base. Not for production use.

Identity and Version

Repository
cokoro/qwen3-8b-moe-merge-merged
Publisher
Cokoro
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
321f8df747e05d182dee8a299b4cc2c660bf237f
First published
2026-10-18
Last updated
2026-10-18

Files and Weights

23 files, 16.9 GB in total. The weights are 6 files totalling 16.9 GB in safetensors.

Weights6 files · 16.9 GB
Configuration8 files · 38.3 KB
Tokenizer4 files · 22.8 MB
Documentation1 file · 1.4 KB
Other3 files · 40.0 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
merged_linear_lora64/adapter_model.safetensorsWeights349.2 MB e24f1e6b6be2
merged_ties/model-00001-of-00004.safetensorsWeights4.9 GB 7a06b38ed6b2
merged_ties/model-00002-of-00004.safetensorsWeights4.9 GB 7f02d52b9ea9
merged_ties/model-00003-of-00004.safetensorsWeights5.0 GB 839d4b7342c5
merged_ties/model-00004-of-00004.safetensorsWeights1.6 GB ca4371c808b7
mopd/adapter_model.safetensorsWeights174.7 MB ce3241634f99
merged_linear_lora64/adapter_config.jsonConfiguration1.1 KB —
merged_linear_lora64/merge_manifest.jsonConfiguration323 B —
merged_ties/config.jsonConfiguration1.6 KB —
merged_ties/generation_config.jsonConfiguration214 B —
merged_ties/merge_manifest.jsonConfiguration549 B —
merged_ties/model.safetensors.index.jsonConfiguration32.9 KB —
mopd/adapter_config.jsonConfiguration1.2 KB —
mopd/training_metrics.jsonConfiguration453 B —
README.mdDocumentation1.4 KB —
merged_ties/chat_template.jinjaOther4.2 KB —
mopd/chat_template.jinjaOther4.2 KB —
mopd/mopd_log.jsonlOther31.7 KB —
.gitattributesRepository1.6 KB —
merged_ties/tokenizer.jsonTokenizer11.4 MB be75606093db
merged_ties/tokenizer_config.jsonTokenizer693 B —
mopd/tokenizer.jsonTokenizer11.4 MB 79cb3c783570
mopd/tokenizer_config.jsonTokenizer693 B —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
16.9 GB
Download from Cokoro

Released by Cokoro through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published16.9 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About qwen3-8b-moe-merge-merged

Can I use qwen3-8b-moe-merge-merged commercially?

Yes. qwen3-8b-moe-merge-merged is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.