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SnowLotus V2.10.7B by BlueNipples

 »  All LLMs  »  BlueNipples  »  SnowLotus V2.10.7B   URL Share it on

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  Merged Model   Autotrain compatible   Endpoints compatible   Llama   Mistral   Region:us   Roleplay   Safetensors   Sharded   Solar   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B 

SnowLotus V2.10.7B Benchmarks

ARC: 64.76 vs 96.7 (so35)-33%
HellaSwag: 85.28 vs 95.3 (gpt4)-10.5%
MMLU: 64.1 vs 88.3 (so35)-27.4%
TruthfulQA: 45.54 vs 59 (gpt4)-22.8%
WinoGrande: 82.08 vs 87.5 (gpt4)-6.2%
GSM8K: 48.75 vs 96.4 (so35)-49.4%
LLME Score: 0.19569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SnowLotus V2.10.7B (BlueNipples/SnowLotus-v2-10.7B)

SnowLotus V2.10.7B Parameters and Internals

Model Type 
Text Generation, Roleplay
Additional Notes 
The model merges technologies (Solar, Frostwind, Frostmaid) to improve prose and intelligence for open-source RP models.
Training Details 
Methodology:
Slerp merge between a smart model and a good prose model, incorporating Solar, Frostwind, and Frostmaid components.
Input Output 
Input Format:
Alpaca instruct formatting
Performance Tips:
Use MinP or DynaTemp samplers to minimize repetition. Suitable for 4k context but may work up to 8k.
LLM NameSnowLotus V2.10.7B
Repository 🤗https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B 
Merged ModelYes
Model Size10.7b
Required VRAM21.4 GB
Updated2025-02-16
MaintainerBlueNipples
Model Typellama
Model Files  1.9 GB: 1-of-11   2.0 GB: 2-of-11   2.0 GB: 3-of-11   1.9 GB: 4-of-11   2.0 GB: 5-of-11   1.9 GB: 6-of-11   2.0 GB: 7-of-11   1.9 GB: 8-of-11   2.0 GB: 9-of-11   1.9 GB: 10-of-11   1.9 GB: 11-of-11
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than BlueNipples/SnowLotus-v2-10.7B.

Rank the SnowLotus V2.10.7B 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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Release v20241227
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