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Seraph 7B by Weyaxi

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  Autotrain compatible   Endpoints compatible   Merge   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Seraph-7B 

Seraph 7B Benchmarks

ARC: 67.83 vs 96.7 (so35)-29.9%
HellaSwag: 86.22 vs 95.3 (gpt4)-9.5%
MMLU: 65.07 vs 88.3 (so35)-26.3%
TruthfulQA: 59.49 vs 59 (gpt4)0.8%
WinoGrande: 80.66 vs 87.5 (gpt4)-7.8%
GSM8K: 71.87 vs 96.4 (so35)-25.4%
LLME Score: 0.14387
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seraph 7B (Weyaxi/Seraph-7B)
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Seraph 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Text Generation
Additional Notes 
Various quantized versions available credit to TheBloke.
Training Details 
Methodology:
Used mergekit to merge models Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp and Q-bert/MetaMath-Cybertron-Starling
Input Output 
Input Format:
ChatML syntax.
Accepted Modalities:
text
Performance Tips:
Recommended to use ChatML for prompts.
LLM NameSeraph 7B
Repository 🤗https://huggingface.co/Weyaxi/Seraph-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerWeyaxi
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Seraph 7B

Model
Likes
Downloads
VRAM
Seraph 7B GGUF42583 GB
Seraph 7B GPTQ0114 GB
Seraph 7B AWQ064 GB

Best Alternatives to Seraph 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB14118
MegaBeam Mistral 7B 512K512K / 14.4 GB890850
SpydazWeb AI HumanAI RP512K / 14.4 GB171
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB808216
Hebrew Mistral 7B 200K256K / 30 GB131615
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Seraph-7B.

Rank the Seraph 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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