MixtureofMerges MoE 2x7b V6 is an open-source language model by jsfs11. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, MoE, HF Score: 76.6, LLM Explorer Score: 0.13, Arc: 73.4, HellaSwag: 89.2, MMLU: 64.5, TruthfulQA: 78.6, WinoGrande: 84.8, GSM8K: 69.4.
Base model:merge:mlabonne/alph... Base model:merge:yam-peleg/exp... Base model:mlabonne/alphamonar... Base model:yam-peleg/experimen... Endpoints compatible Frankenmoe Lazymergekit Merge Mergekit Mixtral Mlabonne/alphamonarch-7b Model-index Moe Region:us Safetensors Sharded Tensorflow Yam-peleg/experiment26-7b
Model Card on HF 🤗: https://huggingface.co/jsfs11/MixtureofMerges-MoE-2x7b-v6
MixtureofMerges MoE 2x7b V6 Benchmarks
ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 89.16 vs 95.3 (gpt4)-6.4%
MMLU: 64.53 vs 88.3 (so35)-26.9%
TruthfulQA: 78.58 vs 59 (gpt4)33.2%
WinoGrande: 84.77 vs 87.5 (gpt4)-3.1%
GSM8K: 69.37 vs 96.4 (so35)-28%
LLME Score: 0.12791
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
MixtureofMerges MoE 2x7b V6 Parameters and Internals
| Model Type |
| |||
| Training Details |
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| LLM Name | MixtureofMerges MoE 2x7b V6 |
| Repository 🤗 | https://huggingface.co/jsfs11/MixtureofMerges-MoE-2x7b-v6 |
| Base Model(s) | |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2026-04-08 |
| Maintainer | jsfs11 |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to MixtureofMerges MoE 2x7b V6
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 19298 | 55 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 8760 | 52 |
| Inf Silent Kunoichi V0.1 2x7B | 32K / 25.6 GB | 5 | 0 |
| Inf Silent Kunoichi V0.2 2x7B | 32K / 25.6 GB | 10 | 1 |
| LogoS 7Bx2 MoE 13B V0.2 | 32K / 25.9 GB | 7691 | 10 |
| MultiMash8 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash11 13B Slerp | 32K / 25.7 GB | 9 | 0 |
| MultiMash9 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash10 13B Slerp | 32K / 25.7 GB | 8 | 0 |
| Multimash3 12B Slerp | 32K / 25.7 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jsfs11/MixtureofMerges-MoE-2x7b-v6 .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a