Autotrain compatible En Endpoints compatible Mixtral Model-index Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TomGrc/FusionNet_7Bx2_MoE_14B
FusionNet 7Bx2 MoE 14B Benchmarks
ARC: 73.55 vs 96.7 (so35)-23.9%
HellaSwag: 88.84 vs 95.3 (gpt4)-6.8%
MMLU: 64.68 vs 88.3 (so35)-26.7%
TruthfulQA: 69.6 vs 59 (gpt4)18%
WinoGrande: 88.16 vs 87.5 (gpt4)0.8%
GSM8K: 70.66 vs 96.4 (so35)-26.7%
LLME Score: 0.1546
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)
FusionNet 7Bx2 MoE 14B Parameters and Internals
| Model Type |
|
| LLM Name | FusionNet 7Bx2 MoE 14B |
| Repository 🤗 | https://huggingface.co/TomGrc/FusionNet_7Bx2_MoE_14B |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2025-09-23 |
| Maintainer | TomGrc |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Quantized Models of the FusionNet 7Bx2 MoE 14B
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| LHK DPO V1 | 0 | 20 | 7 GB |
Best Alternatives to FusionNet 7Bx2 MoE 14B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 20811 | 55 |
| Inf Silent Kunoichi V0.1 2x7B | 32K / 25.6 GB | 5 | 0 |
| Inf Silent Kunoichi V0.2 2x7B | 32K / 25.6 GB | 10 | 1 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 8760 | 52 |
| LogoS 7Bx2 MoE 13B V0.2 | 32K / 25.9 GB | 9050 | 10 |
| MultiMash8 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash11 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash9 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash10 13B Slerp | 32K / 25.7 GB | 6 | 0 |
| MixTaoTruthful 13B Slerp | 32K / 25.7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TomGrc/FusionNet_7Bx2_MoE_14B .
Rank the FusionNet 7Bx2 MoE 14B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124