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Alignment Model Test10 by 4season

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Alignment Model Test10 is an open-source language model by 4season. Features: 21.4b LLM, VRAM: 42.8GB, Context: 32K, License: apache-2.0, HF Score: 75.4, LLM Explorer Score: 0.13, Arc: 79.6, HellaSwag: 90, MMLU: 67.9, TruthfulQA: 71.1, WinoGrande: 87.2, GSM8K: 56.5.

  En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/4season/alignment-model-test10 

Alignment Model Test10 Benchmarks

ARC: 79.61 vs 96.7 (so35)-17.7%
HellaSwag: 90.01 vs 95.3 (gpt4)-5.6%
MMLU: 67.86 vs 88.3 (so35)-23.1%
TruthfulQA: 71.08 vs 59 (gpt4)20.5%
WinoGrande: 87.21 vs 87.5 (gpt4)-0.3%
GSM8K: 56.48 vs 96.4 (so35)-41.4%
LLME Score: 0.134
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alignment Model Test10 (4season/alignment-model-test10)
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Alignment Model Test10 Parameters and Internals

Additional Notes 
This model is a test version and utilizes alignment-tuned techniques including direct preference optimization (DPO).
Supported Languages 
en (full)
LLM NameAlignment Model Test10
Repository 🤗https://huggingface.co/4season/alignment-model-test10 
Model Size21.4b
Required VRAM42.8 GB
Updated2026-04-07
Maintainer4season
Model Typellama
Model Files  9.8 GB: 1-of-5   9.8 GB: 2-of-5   9.9 GB: 3-of-5   9.9 GB: 4-of-5   3.4 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Is Biased0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than 4season/alignment-model-test10.

Rank the Alignment Model Test10 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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