FusionNet 7Bx2 MoE 14B By TomGrc: Benchmarks, Features and Detailed Analysis. Insights on FusionNet 7Bx2 MoE 14B.

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: 0.18834

^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 (TomGrc/FusionNet_7Bx2_MoE_14B)

FusionNet 7Bx2 MoE 14B Parameters and Internals

Model Type

text-generation

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	2025-02-05
Maintainer	TomGrc
Model Type	mixtral
Model Files	9.9 GB: 1-of-3 10.0 GB: 2-of-3 5.9 GB: 3-of-3
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	13	7 GB

Best Alternatives to FusionNet 7Bx2 MoE 14B

Best Alternatives	Context / RAM	Downloads	Likes
MixTAO 7Bx2 MoE V8.1	32K / 25.8 GB	10214	55
Inf Silent Kunoichi V0.1 2x7B	32K / 25.6 GB	5	0
MixTAO 7Bx2 MoE V8.1	32K / 25.8 GB	8760	52
Inf Silent Kunoichi V0.2 2x7B	32K / 25.6 GB	5	0
LogoS 7Bx2 MoE 13B V0.2	32K / 25.9 GB	3140	10
MultiMash8 13B Slerp	32K / 25.7 GB	8	0
MultiMash11 13B Slerp	32K / 25.7 GB	6	0
MultiMash9 13B Slerp	32K / 25.7 GB	8	0
MultiMash10 13B Slerp	32K / 25.7 GB	7	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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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241227

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