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SOLAR 10.7B V1.0 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  SOLAR 10.7B V1.0 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:quantized:upstage/s... Base model:upstage/solar-10.7b...   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/SOLAR-10.7B-v1.0-AWQ 

SOLAR 10.7B V1.0 AWQ Benchmarks

LLME Score: 0.12898
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SOLAR 10.7B V1.0 AWQ (TheBloke/SOLAR-10.7B-v1.0-AWQ)
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SOLAR 10.7B V1.0 AWQ Parameters and Internals

Model Type 
causal_transformer, quantized
Use Cases 
Considerations:
Fine-tuning is required for specific use cases.
Additional Notes 
Solar 10.7B is ideal for fine-tuning and generation tasks once fine-tuned.
Training Details 
Data Sources:
VMware Open Instruct
Methodology:
Depth Up-Scaling with Mistral 7B integration
Context Length:
4096
Hardware Used:
Massed Compute, NVIDIA GPUs
Model Architecture:
Llama2 architecture with Depth Up-Scaling
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
LLM NameSOLAR 10.7B V1.0 AWQ
Repository 🤗https://huggingface.co/TheBloke/SOLAR-10.7B-v1.0-AWQ 
Model NameSolar 10.7B v1.0
Model Creatorupstage
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM6 GB
Updated2025-08-19
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SOLAR-10.7B-v1.0-AWQ.

Rank the SOLAR 10.7B V1.0 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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