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SOLAR 10.7B Instruct V1.0 128K EXL2 by cgus

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SOLAR 10.7B Instruct V1.0 128K EXL2 is an open-source language model by cgus. Features: 10.7b LLM, VRAM: 5.6GB, Context: 128K, License: cc-by-nc-4.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  Arxiv:2309.12284   Arxiv:2312.15166 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   Exl2   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/cgus/SOLAR-10.7B-Instruct-v1.0-128k-exl2 

SOLAR 10.7B Instruct V1.0 128K EXL2 Benchmarks

LLME Score: 0.11196
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 128K EXL2 (cgus/SOLAR-10.7B-Instruct-v1.0-128k-exl2)
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SOLAR 10.7B Instruct V1.0 128K EXL2 Parameters and Internals

Additional Notes 
Fine-tuned for single-turn conversation; less suitable for multi-turn.
Training Details 
Data Sources:
c-s-ale/alpaca-gpt4-data, Open-Orca/OpenOrca, Intel/orca_dpo_pairs, allenai/ultrafeedback_binarized_cleaned
Methodology:
Direct preference optimization (DPO) and supervised fine-tuning (SFT).
Model Architecture:
Depth Up-Scaling with Mistral 7B weights in upscaled layers.
LLM NameSOLAR 10.7B Instruct V1.0 128K EXL2
Repository 🤗https://huggingface.co/cgus/SOLAR-10.7B-Instruct-v1.0-128k-exl2 
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM5.6 GB
Updated2026-05-21
Maintainercgus
Model Typellama
Instruction-BasedYes
Model Files  5.6 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length131072
Model Max Length131072
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to SOLAR 10.7B Instruct V1.0 128K EXL2

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Context / RAM
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Eclectus 1.1 Dedup4K / 21.4 GB50
Eclectus1.14K / 21.4 GB50
Solar 10.7B SLERP EXL24K / 5.6 GB104
...Instruct V1.0 6.0bpw H6 EXL2 24K / 8.2 GB62
...Instruct V1.0 3.0bpw H6 EXL2 24K / 4.3 GB70
...Instruct V1.0 8.0bpw H8 EXL2 24K / 10.8 GB11
SOLAR 10.7B Instruct V1.0 128K128K / 21.4 GB963
SOLAR 10.7B V1.0 Instruct 16K16K / 21.4 GB632
SauerkrautLM SOLAR Instruct8K / 21.4 GB23446
MetaModelv28K / 21.4 GB1180
Note: green Score (e.g. "73.2") means that the model is better than cgus/SOLAR-10.7B-Instruct-v1.0-128k-exl2.

Rank the SOLAR 10.7B Instruct V1.0 128K EXL2 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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