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Dre 60Model by empgces

 »  All LLMs  »  empgces  »  Dre 60Model   URL Share it on

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  4bit Base model:quantized:unsloth/t... Base model:unsloth/tinyllama-c...   Conversational   En   Endpoints compatible   Gguf   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/empgces/dre_60Model 

Dre 60Model Benchmarks

LLME Score: 0.19323
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dre 60Model (empgces/dre_60Model)

Dre 60Model Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Finetuned using Unsloth and Huggingface's TRL library.
LLM NameDre 60Model
Repository 🤗https://huggingface.co/empgces/dre_60Model 
Base Model(s)  Tinyllama Chat Bnb 4bit   unsloth/tinyllama-chat-bnb-4bit
Required VRAM0.1 GB
Updated2025-02-15
Maintainerempgces
Model Files  0.1 GB   0.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|o_proj|gate_proj|down_proj|up_proj|k_proj|q_proj
LoRA Alpha32
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_60Model.

Rank the Dre 60Model 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 v20241227
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