Sensualize Solar 10.7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:sao10k/se... Base model:sao10k/sensualize-s...   En   Llama   Quantized   Region:us   Safetensors

Sensualize Solar 10.7B AWQ Benchmarks

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 AWQ (TheBloke/Sensualize-Solar-10.7B-AWQ)

Sensualize Solar 10.7B AWQ Parameters and Internals

Model Type 
solar
Use Cases 
Considerations:
Experimental
Additional Notes 
Original model is an 8-bit LoRA
Supported Languages 
English (proficient)
Training Details 
Methodology:
AWQ for low-bit quantization
Context Length:
4096
Training Time:
12 Hours
Hardware Used:
2x RTX 6000
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Accepted Modalities:
text
Output Format:
text
LLM NameSensualize Solar 10.7B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Sensualize-Solar-10.7B-AWQ 
Model NameSensualize Solar 10.7B
Model CreatorSaofiq
Base Model(s)  Sao10K/Sensualize-Solar-10.7B   Sao10K/Sensualize-Solar-10.7B
Model Size10.7b
Required VRAM6 GB
Updated2024-12-21
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
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 TheBloke/Sensualize-Solar-10.7B-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217