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Llama3 Carlodda V1 by Fischerboot

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  Merged Model   Autotrain compatible Base model:essacheez/llama3-8b... Base model:fischerboot/llama3-...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama3 Carlodda V1 Benchmarks

LLME Score: 0.2297
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama3 Carlodda V1 Parameters and Internals

Model Type 
pre-trained language model
Training Details 
Methodology:
Passthrough merge method using mergekit
Model Architecture:
Merge of Essacheez/LLAMA3-8b-LIMA-Alpaca-style and Fischerboot/llama3-c1-full
LLM NameLlama3 Carlodda V1
Repository 🤗https://huggingface.co/Fischerboot/llama3-carlodda-v1 
Base Model(s)  LLAMA3 8B LIMA Alpaca Style   Llama3 C1 Full   Essacheez/LLAMA3-8b-LIMA-Alpaca-style   Fischerboot/llama3-c1-full
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2024-11-23
MaintainerFischerboot
Model Typellama
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
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Llama3 Carlodda V1 (Fischerboot/llama3-carlodda-v1)

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Note: green Score (e.g. "73.2") means that the model is better than Fischerboot/llama3-carlodda-v1.

Rank the Llama3 Carlodda V1 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 v20241110
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