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Somer2 by sumink

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Somer2 is an open-source language model by sumink. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, Instruction-Based, Merged, LLM Explorer Score: 0.36, ELO: 1342.

  Merged Model Base model:upstage/solar-10.7b... Base model:upstage/solar-10.7b...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sumink/somer2 

Somer2 Benchmarks

LMSys ELO: 1342 vs 1272 (so35)5.5%
LLME Score: 0.36071
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Somer2 (sumink/somer2)
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Somer2 Parameters and Internals

LLM NameSomer2
Repository 🤗https://huggingface.co/sumink/somer2 
Base Model(s)  upstage/SOLAR-10.7B-Instruct-v1.0   upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-Instruct-v1.0   upstage/SOLAR-10.7B-v1.0
Merged ModelYes
Model Size10.7b
Required VRAM21.4 GB
Updated2026-04-25
Maintainersumink
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Somer2

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
SOLAR 10.7B Instruct V1.04K / 21.4 GB60
Solarmer34K / 21.4 GB80
Somer4K / 21.4 GB90
...arbonVillain En 10.7B V2 Slerp4K / 21.4 GB124420
Note: green Score (e.g. "73.2") means that the model is better than sumink/somer2.

Rank the Somer2 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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