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

MistralSmall1500CTXDummy by Jellywibble

 »  All LLMs  »  Jellywibble  »  MistralSmall1500CTXDummy   URL Share it on

  82   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Jellywibble/MistralSmall1500CTXDummy 

MistralSmall1500CTXDummy Benchmarks

LLME Score: 0.22855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralSmall1500CTXDummy (Jellywibble/MistralSmall1500CTXDummy)

MistralSmall1500CTXDummy Parameters and Internals

LLM NameMistralSmall1500CTXDummy
Repository 🤗https://huggingface.co/Jellywibble/MistralSmall1500CTXDummy 
Model Size22.2b
Required VRAM44.7 GB
Updated2025-01-24
MaintainerJellywibble
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to MistralSmall1500CTXDummy

Best Alternatives
Context / RAM
Downloads
Likes
Mistral Small Instruct 2409128K / 44.7 GB10693
MS Sunfall V0.7.032K / 44.7 GB24011
...lect MistralSmallit MMQA Iter132K / 44.7 GB360
...ct MistralSmallit Mg DPO Iter132K / 60.8 GB380
...istral Small It MMQA DPO Iter132K / 44.7 GB90
...mall Instruct 2409 Abliterated32K / 44.7 GB80
MistralSmall1500CTX32K / 44.7 GB180
Note: green Score (e.g. "73.2") means that the model is better than Jellywibble/MistralSmall1500CTXDummy.

Rank the MistralSmall1500CTXDummy 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? 41817 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