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

Genz 70B by budecosystem

 »  All LLMs  »  budecosystem  »  Genz 70B   URL Share it on

  1932   
  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/budecosystem/genz-70b 

Genz 70B Benchmarks

ARC: 71.42 vs 96.7 (so35)-26.1%
HellaSwag: 87.99 vs 95.3 (gpt4)-7.7%
MMLU: 70.78 vs 88.3 (so35)-19.8%
TruthfulQA: 62.66 vs 59 (gpt4)6.2%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 33.74 vs 96.4 (so35)-65%
LLME Score: 0.17059
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Genz 70B (budecosystem/genz-70b)

Genz 70B Parameters and Internals

Model Type 
text generation, chatbot, text summarization
Use Cases 
Areas:
research, fine-tuning for specific tasks
Applications:
text summarization, text generation, chatbot creation
Limitations:
production use without adequate assessment of risks and mitigation, irresponsible or harmful uses, violations of applicable laws or regulations, actions prohibited by the Acceptable Use Policy and Licensing Agreement for Llama 2
Additional Notes 
GenZ focuses on democratizing AI access for the open-source community.
Training Details 
Data Sources:
OpenAssistant, Thought Source
Methodology:
Supervised Fine-Tuning (SFT)
Model Architecture:
GenZ 70B, fine-tuned on Llama V2 70B, is an auto-regressive language model that employs an optimized transformer architecture.
Release Notes 
Version:
GenZ-70B
Date:
21 August 2023
Notes:
Release of GenZ 70B on HuggingFace
Version:
GenZ-13B V2 (ggml)
Date:
27 July 2023
Notes:
Announcing GenZ-13B v2 with ggml, CPU inference
Version:
GenZ-13B V2 (4-bit)
Date:
27 July 2023
Notes:
Release of GenZ-13B v2 with 4-bit quantisation
Version:
GenZ-13B V2
Date:
26 July 2023
Notes:
Improved evaluation results compared to v1
Version:
GenZ-13B
Date:
20 July 2023
Notes:
Initial release of GenZ 13B
LLM NameGenz 70B
Repository 🤗https://huggingface.co/budecosystem/genz-70b 
Model Size70b
Required VRAM138 GB
Updated2024-12-23
Maintainerbudecosystem
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Genz 70B

Model
Likes
Downloads
VRAM
Genz 70B AWQ52636 GB
Genz 70B GGUF922829 GB
Genz 70B GPTQ362836 GB
Genz 70B GGML31528 GB

Best Alternatives to Genz 70B

Best Alternatives
Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB31875
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB276121
Llama3 Function Calling 1048K1024K / 141.9 GB31
...a 3 70B Instruct Gradient 524K512K / 141.9 GB5423
...a 3 70B Instruct Gradient 262K256K / 141.9 GB19955
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB523
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB160
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB312
Yi 70B 200K RPMerge Franken195K / 142.4 GB181
...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB1568661929
Note: green Score (e.g. "73.2") means that the model is better than budecosystem/genz-70b.

Rank the Genz 70B 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? 40126 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 v20241217
  Support LLM Explorer