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Insane Llama3.1 by Gydoo

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Model Card on HF 🤗: https://huggingface.co/Gydoo/insane-llama3.1 

Insane Llama3.1 Benchmarks

LLME Score: 0.20963
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Insane Llama3.1 (Gydoo/insane-llama3.1)

Insane Llama3.1 Parameters and Internals

LLM NameInsane Llama3.1
Repository 🤗https://huggingface.co/Gydoo/insane-llama3.1 
Base Model(s)  unsloth/meta-llama-3.1-8b-instruct-bnb-4bit   unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-01-20
MaintainerGydoo
Model Typellama
Instruction-BasedYes
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
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Insane Llama3.1

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB242
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB211
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB102
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB90
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB1225
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2517
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB83
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB101
...B Instruct 262k V2 EXL2 8.0bpw256K / 8.4 GB320
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB191
Note: green Score (e.g. "73.2") means that the model is better than Gydoo/insane-llama3.1.

Rank the Insane Llama3.1 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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