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

ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 by DrNicefellow

 »  All LLMs  »  DrNicefellow  »  ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2   URL Share it on

  14   
  Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2 

ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 Benchmarks

LLME Score: 0.16181
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 (DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2)

ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 Parameters and Internals

Additional Notes 
This model is a 6.0bpw quantized version of ChatAllInOne-Yi-34B-200K-V1 made with exllamav2.
Training Details 
Data Sources:
CHAT-ALL-IN-ONE-v1
Methodology:
QLoRA (Quantum Logic-based Reasoning Approach)
Input Output 
Input Format:
Vicuna 1.1
LLM NameChatAllInOne Yi 34B 200K V1.6.0bpw EXL2
Repository 🤗https://huggingface.co/DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2 
Model Size34b
Required VRAM26.4 GB
Updated2025-02-22
MaintainerDrNicefellow
Model Typellama
Model Files  8.5 GB: 1-of-4   8.6 GB: 2-of-4   8.5 GB: 3-of-4   0.8 GB: 4-of-4
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Best Alternatives to ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2

Best Alternatives
Context / RAM
Downloads
Likes
...34B 200K Aezakmi Raw 1902 EXL2195K / 20.7 GB61
Yi 34B 200K RPMerge195K / 68.9 GB13860
Yi 34B 200K MAR2024 EXL2 4bpw195K / 18 GB41
...mi Raw Toxic 2702 4.65bpw EXL2195K / 20.8 GB82
...B 200K RPMerge 4.65bpw H6 EXL2195K / 10.5 GB101
Opus V1 34B 5.0bpw H6 EXL2195K / 22.3 GB52
Opus V1 34B 8.0bpw H8 EXL2195K / 34.8 GB81
Opus V1 34B 4.0bpw H6 EXL2195K / 18 GB61
Yi 34B 200K RPMerge EXL2 40bpw195K / 18.1 GB3020
34B Beta 5.0bpw H6 EXL2195K / 22.3 GB71
Note: green Score (e.g. "73.2") means that the model is better than DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2.

Rank the ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 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