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

Model Vistral InContextLearning by kamisaiko

 »  All LLMs  »  kamisaiko  »  Model Vistral InContextLearning   URL Share it on

  10   
  Autotrain compatible Base model:finetune:viet-mistr... Base model:viet-mistral/vistra...   Conversational   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/kamisaiko/model_vistral_inContextLearning 

Model Vistral InContextLearning Benchmarks

LLME Score: 0.2244
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model Vistral InContextLearning (kamisaiko/model_vistral_inContextLearning)

Model Vistral InContextLearning Parameters and Internals

LLM NameModel Vistral InContextLearning
Repository 🤗https://huggingface.co/kamisaiko/model_vistral_inContextLearning 
Base Model(s)  Viet-Mistral/Vistral-7B-Chat   Viet-Mistral/Vistral-7B-Chat
Model Size7b
Required VRAM14.6 GB
Updated2025-03-19
Maintainerkamisaiko
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size38369
Torch Data Typefloat16

Best Alternatives to Model Vistral InContextLearning

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB246815
MegaBeam Mistral 7B 512K512K / 14.4 GB410850
SpydazWeb AI HumanAI RP512K / 14.4 GB131
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
Hebrew Mistral 7B 200K256K / 30 GB2398215
Astral 256K 7B V2250K / 14.4 GB100
Astral 256K 7B250K / 14.4 GB60
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than kamisaiko/model_vistral_inContextLearning.

Rank the Model Vistral InContextLearning 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? 45269 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