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Llama 3 70B Tagengo by ruslandev

 »  All LLMs  »  ruslandev  »  Llama 3 70B Tagengo   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-70b...   Dataset:lightblue/tagengo-gpt4   En   Endpoints compatible   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ruslandev/llama-3-70b-tagengo 

Llama 3 70B Tagengo Benchmarks

LLME Score: 0.18613
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Tagengo (ruslandev/llama-3-70b-tagengo)

Llama 3 70B Tagengo Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This model is finetuned on the Tagengo dataset. It has been created for educational purposes and needs further training/fine tuning.
Training Details 
Methodology:
finetuned on the Tagengo dataset
Training Time:
7 hours on a single H100
Hardware Used:
single H100
LLM NameLlama 3 70B Tagengo
Repository 🤗https://huggingface.co/ruslandev/llama-3-70b-tagengo 
Base Model(s)  Llama 3 70B Bnb 4bit   unsloth/llama-3-70b-bnb-4bit
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
Maintainerruslandev
Model Files  0.8 GB   4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|up_proj|down_proj|gate_proj|q_proj|k_proj|o_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than ruslandev/llama-3-70b-tagengo.

Rank the Llama 3 70B Tagengo 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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Release v20241227
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