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

Smaug Llama 3 70B Instruct GPTQ 4B by cortecs

 »  All LLMs  »  cortecs  »  Smaug Llama 3 70B Instruct GPTQ 4B   URL Share it on

  7   
  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Sharded   Tensorflow

Smaug Llama 3 70B Instruct GPTQ 4B Benchmarks

LLME Score: 0.20548
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Smaug Llama 3 70B Instruct GPTQ 4B Parameters and Internals

LLM NameSmaug Llama 3 70B Instruct GPTQ 4B
Repository 🤗https://huggingface.co/cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-4b 
Base Model(s)  Smaug Llama 3 70B Instruct   abacusai/Smaug-Llama-3-70B-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2024-10-19
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   9.9 GB: 4-of-4
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Smaug Llama 3 70B Instruct GPTQ 4B (cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-4b)

Best Alternatives to Smaug Llama 3 70B Instruct GPTQ 4B

Best Alternatives
Context / RAM
Downloads
Likes
...ama 3.1 70B Instruct Gptq 4bit128K / 39.9 GB2234
Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB212316
Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB107617
...ama 3 Taiwan 70B Instruct GPTQ8K / 39.8 GB162
...ta Llama 3 70B Instruct Marlin8K / 39.5 GB4246
...erkrautLM 70B Instruct GPTQ 8B8K / 74.4 GB361
...SauerkrautLM 70B Instruct GPTQ8K / 39.8 GB1283
...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB11
...a Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB110
...Llama 3 70B Instruct GPTQ Int88K / 74.5 GB792
Note: green Score (e.g. "73.2") means that the model is better than cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-4b.

Rank the Smaug Llama 3 70B Instruct GPTQ 4B 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? 38199 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 v20241110
  Support LLM Explorer