Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit by mlx-community

 ยป  All LLMs  ยป  mlx-community  ยป  Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit   URL Share it on

  4-bit   4bit   Autotrain compatible Base model:nvidia/llama-3.1-ne... Base model:quantized:nvidia/ll...   Conversational   Dataset:nvidia/helpsteer2   En   Instruct   Llama   Llama3.1   Mlx   Nvidia   Quantized   Region:us   Safetensors

Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit Benchmarks

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

Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit Parameters and Internals

LLM NameNvidia Llama 3.1 Nemotron 70B Instruct HF 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit 
Base Model(s)  nvidia/Llama-3.1-Nemotron-70B-Instruct-HF   nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
Model Size70b
Updated2024-10-18
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.40.0
Vocabulary Size128256
Torch Data Typebfloat16
Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit (mlx-community/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit)

Best Alternatives to Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 8bit1024K / 75 GB45
...B Instruct Gradient 1048K 4bit1024K / 39.7 GB43
...B Instruct Gradient 1048K 2bit1024K / 21.9 GB12
...0B Instruct Gradient 262K 4bit256K / 39.7 GB143
...0B Instruct Gradient 262K 8bit256K / 75 GB112
...0B Instruct Gradient 262K 2bit256K / 21.9 GB111
... Gradient 262K 2.25bpw H6 EXL2256K / 22.2 GB50
...t Gradient 262K 4.0bpw H6 EXL2256K / 37.2 GB51
...t Gradient 262K 2.4bpw H6 EXL2256K / 23.5 GB80
...t Gradient 262K 3.5bpw H6 EXL2256K / 32.9 GB50

Rank the Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 36966 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803