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

Swallow MX 8x7b NVE V0.1 by tokyotech-llm

 »  All LLMs  »  tokyotech-llm  »  Swallow MX 8x7b NVE V0.1   URL Share it on

  832   
  Arxiv:2401.04088   Arxiv:2404.17733   Autotrain compatible   En   Endpoints compatible   Ja   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1 

Swallow MX 8x7b NVE V0.1 Benchmarks

LLME Score: 0.18947
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow MX 8x7b NVE V0.1 (tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1)

Swallow MX 8x7b NVE V0.1 Parameters and Internals

LLM NameSwallow MX 8x7b NVE V0.1
Repository 🤗https://huggingface.co/tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-02-05
Maintainertokyotech-llm
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen ja
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Swallow MX 8x7b NVE V0.1

Model
Likes
Downloads
VRAM
...arakuri Lm 8x7b Chat V0.1 8bit11349 GB

Best Alternatives to Swallow MX 8x7b NVE V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB16141634282
Mixtral 8x7B V0.132K / 93.6 GB11675431665
Nous Hermes 2 Mixtral 8x7B DPO32K / 93.6 GB3797422
GritLM 8x7B KTO32K / 93.6 GB42163
Smaug Mixtral V0.132K / 187.7 GB421812
Sensualize Mixtral Bf1632K / 93.6 GB00
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB161381224
Skadi Mixtral V132K / 93.5 GB00
Franziska Mixtral V132K / 93.5 GB00
Typhon Mixtral V132K / 93.4 GB00
Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1.

Rank the Swallow MX 8x7b NVE V0.1 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? 42577 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