Shisa V1 Llama3 8B by shisa-ai

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:augmxnt/ultra-orca-bor...   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Shisa V1 Llama3 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Shisa V1 Llama3 8B Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
Model achieves the best performance with a learning rate of 8e-6. Weight watcher and NEFTune tool usage is indicated.
Training Details 
Data Sources:
augmxnt/ultra-orca-boros-en-ja-v1
Methodology:
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct
Context Length:
8192
Hardware Used:
multi-GPU, 8 devices
LLM NameShisa V1 Llama3 8B
Repository ๐Ÿค—https://huggingface.co/shisa-ai/shisa-v1-llama3-8b 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-06-11
Maintainershisa-ai
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Shisa V1 Llama3 8B (shisa-ai/shisa-v1-llama3-8b)

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Note: green Score (e.g. "73.2") means that the model is better than shisa-ai/shisa-v1-llama3-8b.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124