SOLAR 10.7B Instruct STOCK SOLAR Ties by tanitan2

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SOLAR 10.7B Instruct STOCK SOLAR Ties is an open-source language model by tanitan2. Features: 10.7b LLM, VRAM: 42.9GB, Context: 4K, License: cc-by-nc-4.0, Instruction-Based, Merged, LLM Explorer Score: 0.15.

  Merged Model   Arxiv:1910.09700   Autotrain compatible Base model:finetune:upstage/so... Base model:upstage/solar-10.7b...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

SOLAR 10.7B Instruct STOCK SOLAR Ties 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 STOCK SOLAR Ties Parameters and Internals

LLM NameSOLAR 10.7B Instruct STOCK SOLAR Ties
Repository 🤗https://huggingface.co/tanitan2/SOLAR-10.7B-Instruct-STOCK_SOLAR-ties 
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Merged ModelYes
Model Size10.7b
Required VRAM42.9 GB
Updated2025-09-28
Maintainertanitan2
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   4.8 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   4.8 GB: 8-of-9   3.4 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to SOLAR 10.7B Instruct STOCK SOLAR Ties

Best Alternatives
Context / RAM
Downloads
Likes
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
Kazemi 1.2 Solar8K / 21.4 GB00
SOLAR 10.7B Instruct V1.04K / 21.4 GB62146654
Somer24K / 21.4 GB110
SOLAR 10.7B Instruct V1.04K / 21.4 GB60
Solarmer34K / 21.4 GB80
Somer4K / 21.4 GB90
Note: green Score (e.g. "73.2") means that the model is better than tanitan2/SOLAR-10.7B-Instruct-STOCK_SOLAR-ties.

Rank the SOLAR 10.7B Instruct STOCK SOLAR Ties 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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Release v20260328a