SOLAR 10.7B Instruct V1.0 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:upstage/s... Base model:upstage/solar-10.7b...   Conversational   Instruct   Llama   Quantized   Region:us   Safetensors

SOLAR 10.7B Instruct V1.0 AWQ Benchmarks

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 Instruct V1.0 AWQ (TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ)

SOLAR 10.7B Instruct V1.0 AWQ Parameters and Internals

Model Type 
solar
Additional Notes 
Built on the Llama2 architecture, SOLAR-10.7B incorporates the innovative Upstage Depth Up-Scaling and integrates Mistral 7B weights into the upscaled layers.
Input Output 
Input Format:
### User: {prompt} ### Assistant:
LLM NameSOLAR 10.7B Instruct V1.0 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ 
Model NameSolar 10.7B Instruct v1.0
Model Creatorupstage
Base Model(s)  upstage/SOLAR-10.7B-Instruct-v1.0   upstage/SOLAR-10.7B-Instruct-v1.0
Model Size10.7b
Required VRAM6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typesolar
Instruction-BasedYes
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
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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... 10.7B Instruct V1.0 128K EXL2128K / 5.6 GB141
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...Instruct V1.0 6.0bpw H6 EXL2 24K / 8.2 GB72
...Instruct V1.0 3.0bpw H6 EXL2 24K / 4.3 GB70
SOLAR 10.7B Instruct V1.0 128K128K / 21.4 GB1624
SOLAR 10.7B V1.0 Instruct 16K16K / 21.4 GB632
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ.

Rank the SOLAR 10.7B Instruct V1.0 AWQ Capabilities

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