LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw by gbueno86

 »  All LLMs  »  gbueno86  »  Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw   URL Share it on

  15   
  Merged Model   8-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gbueno86/Meta-LLama-3-Cat-A-LLama-70b-exl2-8.0bpw 

Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw Benchmarks

LLME Score: 0.18786
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw (gbueno86/Meta-LLama-3-Cat-A-LLama-70b-exl2-8.0bpw)

Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw Parameters and Internals

Model Type 
pre-trained language model, merged model
Additional Notes 
Merged from Meta-Llama-3-70B-Instruct-hf and Cat-Llama-3-70B-instruct using mergekit. Achieves 12 tokens per second processing speed.
Training Details 
Methodology:
merged using the passthrough merge method and slerp
Context Length:
8192
Hardware Used:
3x 3090s GPUs with cache_4bit
LLM NameMeta LLama 3 Cat A LLama 70B EXL2 8.0bpw
Repository 🤗https://huggingface.co/gbueno86/Meta-LLama-3-Cat-A-LLama-70b-exl2-8.0bpw 
Merged ModelYes
Model Size70b
Required VRAM62.8 GB
Updated2025-02-22
Maintainergbueno86
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-8   8.4 GB: 2-of-8   8.4 GB: 3-of-8   8.6 GB: 4-of-8   8.6 GB: 5-of-8   8.6 GB: 6-of-8   8.4 GB: 7-of-8   3.2 GB: 8-of-8
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 8bit1024K / 75 GB75
...B Instruct Gradient 1048K 4bit1024K / 39.7 GB63
...B Instruct Gradient 1048K 2bit1024K / 21.9 GB52
...0B Instruct Gradient 262K 4bit256K / 39.7 GB93
...0B Instruct Gradient 262K 8bit256K / 75 GB72
...0B Instruct Gradient 262K 2bit256K / 21.9 GB51
... Gradient 262K 2.25bpw H6 EXL2256K / 22.2 GB50
...t Gradient 262K 4.0bpw H6 EXL2256K / 37.2 GB81
...t Gradient 262K 3.5bpw H6 EXL2256K / 32.9 GB70
...t Gradient 262K 2.4bpw H6 EXL2256K / 23.5 GB60
Note: green Score (e.g. "73.2") means that the model is better than gbueno86/Meta-LLama-3-Cat-A-LLama-70b-exl2-8.0bpw.

Rank the Meta LLama 3 Cat A LLama 70B EXL2 8.0bpw Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer