Fullymerged V1 128 Gen3 by RyotaKadoya1993

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  Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Fullymerged V1 128 Gen3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fullymerged V1 128 Gen3 (RyotaKadoya1993/fullymerged_v1_128_gen3)

Fullymerged V1 128 Gen3 Parameters and Internals

Model Type 
text-generation-inference
Training Details 
Methodology:
This llama model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameFullymerged V1 128 Gen3
Repository ๐Ÿค—https://huggingface.co/RyotaKadoya1993/fullymerged_v1_128_gen3 
Base Model(s)  ryotakadoya1993/fullymerged_v1_128_gen2   ryotakadoya1993/fullymerged_v1_128_gen2
Model Size8b
Required VRAM30 GB
Updated2025-02-22
MaintainerRyotaKadoya1993
Model Typellama
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   4.2 GB: 6-of-7   1.1 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RyotaKadoya1993/fullymerged_v1_128_gen3.

Rank the Fullymerged V1 128 Gen3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227