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SOLAR 10.7B Instruct V1.0 by upstage

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  Arxiv:2312.15166   Arxiv:2403.19270   Autotrain compatible Base model:finetune:upstage/so... Base model:upstage/solar-10.7b...   Conversational Dataset:allenai/ultrafeedback ... Dataset:c-s-ale/alpaca-gpt4-da...   Dataset:intel/orca dpo pairs   Dataset:open-orca/openorca   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0 

SOLAR 10.7B Instruct V1.0 Benchmarks

LMSys ELO: 1062 vs 1272 (so35)-16.5%
MMLU Pro: 23.76
GPQA: 7.83
MUSR: 6.94
BBH: 31.87
IFEval: 47.37 vs 88 (so35)-46.2%
ARC: 71.08 vs 96.7 (so35)-26.5%
HellaSwag: 88.16 vs 95.3 (gpt4)-7.5%
MMLU: 66.21 vs 88.3 (so35)-25%
TruthfulQA: 71.43 vs 59 (gpt4)21.1%
WinoGrande: 83.58 vs 87.5 (gpt4)-4.5%
GSM8K: 64.75 vs 96.4 (so35)-32.8%
LLME Score: 0.4345
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 (upstage/SOLAR-10.7B-Instruct-v1.0)

SOLAR 10.7B Instruct V1.0 Parameters and Internals

Model Type 
large language model
Use Cases 
Areas:
research, conversational AI
Primary Use Cases:
single-turn conversation
Limitations:
Not suitable for multi-turn conversation
Supported Languages 
en (full support)
Training Details 
Data Sources:
c-s-ale/alpaca-gpt4-data, Open-Orca/OpenOrca, Intel/orca_dpo_pairs, allenai/ultrafeedback_binarized_cleaned
Methodology:
Supervised fine-tuning (SFT) and Direct Preference Optimization (DPO)
Model Architecture:
Integration of Mistral 7B weights for depth up-scaling
Input Output 
Input Format:
Single-turn conversation
Accepted Modalities:
text
Output Format:
text
LLM NameSOLAR 10.7B Instruct V1.0
Repository 🤗https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0 
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM21.4 GB
Updated2024-12-22
Maintainerupstage
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the SOLAR 10.7B Instruct V1.0

Model
Likes
Downloads
VRAM
SOLAR 10.7B Instruct V1.0 GGUF825644 GB
UNA SOLAR 10.7B Instruct V1.0168121 GB
SOLAR 10.7B Instruct V1.0 GGUF22434 GB
SOLAR 10.7B Instruct V1.0 AWQ51966 GB
SOLAR 10.7B Instruct V1.0 GPTQ2176 GB
SOLAR 10.7B Instruct V1.0 GPTQ12376 GB

Best Alternatives to SOLAR 10.7B Instruct V1.0

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Likes
SOLAR 10.7B Instruct V1.0 128K128K / 21.4 GB1624
SOLAR 10.7B V1.0 Instruct 16K16K / 21.4 GB632
SauerkrautLM SOLAR Instruct8K / 21.4 GB79846
MetaModelv28K / 21.4 GB11470
Kazemi 1.2 Solar8K / 21.4 GB00
ConfigurableSOLAR 10.7B4K / 21.4 GB70562
...arbonVillain En 10.7B V2 Slerp4K / 21.4 GB147230
Familidata4K / 21.4 GB23570
...0.7B Instruct STOCK SOLAR Ties4K / 42.9 GB47660
Solar Ko Common Slerp4K / 21 GB47580

Rank the SOLAR 10.7B Instruct V1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  
Multi-Language Support and Translation  

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Release v20241217
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