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Last Letter Cat GenRM Pilot Experiment by RyanYr

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Last Letter Cat GenRM Pilot Experiment is an open-source language model by RyanYr. Features: 2b LLM, VRAM: 6.4GB, Context: 8K, License: gemma, LLM Explorer Score: 0.15.

  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-2b-i...   Conversational   Endpoints compatible   Gemma2   Generated from trainer   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/RyanYr/last-letter-cat_genRM_pilot_experiment 

Last Letter Cat GenRM Pilot Experiment Benchmarks

LLME Score: 0.15379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Last Letter Cat GenRM Pilot Experiment (RyanYr/last-letter-cat_genRM_pilot_experiment)
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Last Letter Cat GenRM Pilot Experiment Parameters and Internals

Model Type 
generated_from_trainer
Additional Notes 
Model description, intended uses, limitations, and training and evaluation data information are more information needed.
Training Details 
Methodology:
The model is a fine-tuned version.
Hardware Used:
multi-GPU, num_devices: 4
LLM NameLast Letter Cat GenRM Pilot Experiment
Repository 🤗https://huggingface.co/RyanYr/last-letter-cat_genRM_pilot_experiment 
Base Model(s)  Gemma 2 2B It   google/gemma-2-2b-it
Model Size2b
Required VRAM6.4 GB
Updated2024-11-15
MaintainerRyanYr
Model Typegemma2
Model Files  5.0 GB: 1-of-2   1.4 GB: 2-of-2   0.0 GB
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token[PAD]
Vocabulary Size256001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RyanYr/last-letter-cat_genRM_pilot_experiment.

Rank the Last Letter Cat GenRM Pilot Experiment 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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