LLM Explorer: A Curated Large Language Model Directory and Analytics  // 

Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 by zaq-hack

What open-source LLMs or SLMs are you in search of? 18857 in total.

  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Has space   Instruct   License:cc-by-nc-4.0   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rank the Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 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  
Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 (zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw364-h6-exl2)

Best Alternatives to Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...es Mixtral 8x7B 2.4bpw H6 EXL263.732K / 14.3 GB32
...es Mixtral 8x7B 3.0bpw H6 EXL263.732K / 17.8 GB51
Notux 8x7b V1.3.5bpw EXL263.732K / 20.7 GB62
Notux 8x7b V1.3.5bpw H6 EXL263.732K / 20.7 GB31
...es Mixtral 8x7B 6.0bpw H6 EXL263.732K / 35.3 GB41
...8x7B Instruct V0.1 Hf 4bit Mlx32K / 10.4 GB891
Mixtral 8x7B Instruct 2bit32K / 12.2 GB373
...ruct 8x7b Zloss Bpw225 H6 EXL232K / 13.5 GB100
... Mixtral 8x7b 2.4bpw H6 EXL2 232K / 14.3 GB32
....6 Mixtral 8x7b 2.4bpw H6 EXL232K / 14.3 GB32
Note: green Score (e.g. "73.2") means that the model is better than zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw364-h6-exl2.

Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 Parameters and Internals

LLM NameNoromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2
RepositoryOpen on ๐Ÿค— 
Required VRAM21.6 GB
Updated2024-02-28
Maintainerzaq-hack
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   4.4 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003