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Seraphim 8x10.7B Bf16 by ConvexAI

 »  All LLMs  »  ConvexAI  »  Seraphim 8x10.7B Bf16   URL Share it on

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  Arxiv:2101.03961   Autotrain compatible   Conversational   En   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ConvexAI/Seraphim-8x10.7B-bf16 

Seraphim 8x10.7B Bf16 Benchmarks

ARC: 70.99 vs 96.7 (so35)-26.6%
HellaSwag: 88.72 vs 95.3 (gpt4)-6.9%
MMLU: 66.16 vs 88.3 (so35)-25.1%
TruthfulQA: 70.77 vs 59 (gpt4)19.9%
WinoGrande: 83.74 vs 87.5 (gpt4)-4.3%
GSM8K: 64.37 vs 96.4 (so35)-33.2%
LLME Score: 0.15469
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seraphim 8x10.7B Bf16 (ConvexAI/Seraphim-8x10.7B-bf16)
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Seraphim 8x10.7B Bf16 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
The router layer in this "frankenMoE" was not trained simultaneously with the rest of the model.
Supported Languages 
en (full)
Training Details 
Methodology:
Used SOLAR 10.7B architecture
Model Architecture:
Transformer-based MoE with 32 experts
LLM NameSeraphim 8x10.7B Bf16
Repository 🤗https://huggingface.co/ConvexAI/Seraphim-8x10.7B-bf16 
Model Size69.9b
Required VRAM140 GB
Updated2025-09-23
MaintainerConvexAI
Model Typemixtral
Model Files  9.9 GB: 1-of-15   10.0 GB: 2-of-15   10.0 GB: 3-of-15   10.0 GB: 4-of-15   10.0 GB: 5-of-15   10.0 GB: 6-of-15   10.0 GB: 7-of-15   10.0 GB: 8-of-15   10.0 GB: 9-of-15   10.0 GB: 10-of-15   10.0 GB: 11-of-15   10.0 GB: 12-of-15   10.0 GB: 13-of-15   10.0 GB: 14-of-15   0.1 GB: 15-of-15
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ConvexAI/Seraphim-8x10.7B-bf16.

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Instruction Following and Task Automation  
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Release v20241124
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