SOLAR 0 70B 16bit by upstage

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SOLAR 0 70B 16bit Benchmarks

SOLAR 0 70B 16bit (upstage/SOLAR-0-70b-16bit)

SOLAR 0 70B 16bit Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, private LLMS, AI applications
Additional Notes 
The model utilizes Dynamic rope_scaling to handle larger input prompts.
Supported Languages 
english (fluent)
Training Details 
Data Sources:
Orca-style dataset, Alpaca-style dataset
Methodology:
Fine-tuning
Context Length:
10000
Hardware Used:
A100x8 * 4
Input Output 
Input Format:
Text-based prompts with specific structure using user and assistant delineations
Accepted Modalities:
text
Output Format:
Text output aligned with input prompts
Performance Tips:
The model can handle over 10,000 input tokens using 'rope_scaling'.
LLM NameSOLAR 0 70B 16bit
Repository ๐Ÿค—https://huggingface.co/upstage/SOLAR-0-70b-16bit 
Model Size70b
Required VRAM138 GB
Updated2025-05-12
Maintainerupstage
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Quantization Type16bit
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than upstage/SOLAR-0-70b-16bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227