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UNA SOLAR 10.7B Instruct V1.0 by fblgit

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UNA SOLAR 10.7B Instruct V1.0 is an open-source language model by fblgit. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, License: cc-by-nc-nd-4.0, Quantized, Instruction-Based, HF Score: 74.1, LLM Explorer Score: 0.12, Arc: 70.7, HellaSwag: 88.3, MMLU: 66.1, TruthfulQA: 72.5, WinoGrande: 83.4, GSM8K: 63.4.

  Alignment-handbook Base model:quantized:upstage/s... Base model:upstage/solar-10.7b...   Conversational   Doi:10.57967/hf/1514   En   Endpoints compatible   Generated from trainer   Ggml   Gguf   Instruct   Llama   Q5   Quantized   Region:us   Safetensors   Sharded   Single-turn   Tensorflow   Una
Model Card on HF 🤗: https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0 

UNA SOLAR 10.7B Instruct V1.0 Benchmarks

ARC: 70.73 vs 96.7 (so35)-26.9%
HellaSwag: 88.32 vs 95.3 (gpt4)-7.3%
MMLU: 66.1 vs 88.3 (so35)-25.1%
TruthfulQA: 72.52 vs 59 (gpt4)22.9%
WinoGrande: 83.35 vs 87.5 (gpt4)-4.7%
GSM8K: 63.38 vs 96.4 (so35)-34.3%
LLME Score: 0.11852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UNA SOLAR 10.7B Instruct V1.0 (fblgit/UNA-SOLAR-10.7B-Instruct-v1.0)
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UNA SOLAR 10.7B Instruct V1.0 Parameters and Internals

Model Type 
single-turn
Additional Notes 
This model, UNA-SOLAR-10.7B-Instruct-v1.0, is an alignment-oriented SFT (Supervised Fine-Tuning) model that builds on the SOLAR base model by incorporating unique tuning layers, allowing for improved regularization and customization.
Supported Languages 
English (Proficient)
Training Details 
Model Architecture:
SFT Further with Linear adjustments and Fan in/out modifications
LLM NameUNA SOLAR 10.7B Instruct V1.0
Repository 🤗https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0 
Base Model(s)  upstage/SOLAR-10.7B-Instruct-v1.0   upstage/SOLAR-10.7B-Instruct-v1.0
Model Size10.7b
Required VRAM21.4 GB
Updated2026-04-04
Maintainerfblgit
Model Typellama
Instruction-BasedYes
Model Files  7.6 GB   8.8 GB   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
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q5|gguf|q5_k
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than fblgit/UNA-SOLAR-10.7B-Instruct-v1.0.

Rank the UNA 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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