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Sensualize Solar 10.7B 8.0bpw H8 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Sensualize Solar 10.7B 8.0bpw H8 EXL2   URL Share it on

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  Autotrain compatible Base model:finetune:upstage/so... Base model:upstage/solar-10.7b...   En   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Sensualize-Solar-10.7B-8.0bpw-h8-exl2 

Sensualize Solar 10.7B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.15803
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sensualize Solar 10.7B 8.0bpw H8 EXL2 (LoneStriker/Sensualize-Solar-10.7B-8.0bpw-h8-exl2)

Sensualize Solar 10.7B 8.0bpw H8 EXL2 Parameters and Internals

Use Cases 
Primary Use Cases:
Verbose, smart ERP model
Considerations:
Experimental
Additional Notes 
A finetune of Base Solar meant to be verbose and smart.
Supported Languages 
languages_supported (en), proficiency ()
Training Details 
Methodology:
Fine-tuning
Training Time:
12 Hours
Hardware Used:
2x RTX 6000 ADAs
Model Architecture:
8-bit LoRA
Input Output 
Input Format:
Alpaca Prompt Format: Instruction, Input, Response
LLM NameSensualize Solar 10.7B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Sensualize-Solar-10.7B-8.0bpw-h8-exl2 
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM10.8 GB
Updated2025-02-05
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Sensualize-Solar-10.7B-8.0bpw-h8-exl2.

Rank the Sensualize Solar 10.7B 8.0bpw H8 EXL2 Capabilities

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Release v20241227
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