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SOLAR 10.7B Instruct V1.0 by upstage

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  Arxiv:2309.12284   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: 1077 vs 1272 (so35)-15.3%
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%
MATH Lvl 5: 5.66
LLME Score: 0.36195
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)
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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
Updated2025-09-23
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 GGUF212234 GB
SOLAR 10.7B Instruct V1.0 GGUF828484 GB
SOLAR 10.7B Instruct V1.0 AWQ513406 GB
UNA SOLAR 10.7B Instruct V1.01613221 GB
SOLAR 10.7B Instruct V1.0 GPTQ286 GB
SOLAR 10.7B Instruct V1.0 GPTQ12296 GB

Best Alternatives to SOLAR 10.7B Instruct V1.0

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SOLAR 10.7B Instruct V1.0 128K128K / 21.4 GB54
SOLAR 10.7B V1.0 Instruct 16K16K / 21.4 GB632
SauerkrautLM SOLAR Instruct8K / 21.4 GB65046
MetaModelv28K / 21.4 GB19120
Kazemi 1.2 Solar8K / 21.4 GB00
Solarmer34K / 21.4 GB60
Somer24K / 21.4 GB50
Somer4K / 21.4 GB50
...arbonVillain En 10.7B V2 Slerp4K / 21.4 GB132050
...auerkrautLM UNA SOLAR Instruct4K / 21.4 GB191526

Rank the SOLAR 10.7B Instruct V1.0 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  
Multi-Language Support and Translation  

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