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Llama3 Ei Oc Mixed Train by Holmeister

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  Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla...   Finetuned   Generated from trainer   Llama-factory   Lora   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Holmeister/Llama3_ei_oc_mixed_train 

Llama3 Ei Oc Mixed Train Benchmarks

LLME Score: 0.17495
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Ei Oc Mixed Train (Holmeister/Llama3_ei_oc_mixed_train)

Llama3 Ei Oc Mixed Train Parameters and Internals

Model Type 
fine-tuned model
Additional Notes 
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B and is trained on the emollms_ei_oc_mixed dataset. More information on model description, intended uses, and limitations is needed.
Training Details 
Data Sources:
emollms_ei_oc_mixed dataset
LLM NameLlama3 Ei Oc Mixed Train
Repository 🤗https://huggingface.co/Holmeister/Llama3_ei_oc_mixed_train 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM0.1 GB
Updated2024-08-18
MaintainerHolmeister
Model Files  0.1 GB   0.0 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|o_proj|gate_proj|down_proj|q_proj|up_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than Holmeister/Llama3_ei_oc_mixed_train.

Rank the Llama3 Ei Oc Mixed Train Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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