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

MFANNv0.2 by netcat420

 »  All LLMs  »  netcat420  »  MFANNv0.2   URL Share it on

  58   
  Autotrain compatible   Conversational   Dataset:netcat420/mfann   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MFANNv0.2 Benchmarks

ARC: 62.88 vs 96.7 (so35)-35%
HellaSwag: 83.85 vs 95.3 (gpt4)-12%
MMLU: 60.11 vs 88.3 (so35)-31.9%
TruthfulQA: 68.94 vs 59 (gpt4)16.8%
WinoGrande: 74.03 vs 87.5 (gpt4)-15.4%
GSM8K: 37 vs 96.4 (so35)-61.6%
LLME Score: 0.21582
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MFANNv0.2 Parameters and Internals

LLM NameMFANNv0.2
Repository 🤗https://huggingface.co/netcat420/MFANNv0.2 
Model Size7b
Required VRAM28.9 GB
Updated2024-10-18
Maintainernetcat420
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32
MFANNv0.2 (netcat420/MFANNv0.2)

Best Alternatives to MFANNv0.2

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB21756
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB210
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB8205682545
Mistral 7B Instruct V0.132K / 14.4 GB2017011515
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB38053
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB38923
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB560611
Mistral 7B Instruct RRHF32K / 14.4 GB15840
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.2.

Rank the MFANNv0.2 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? 36966 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 v2024072803
  Support LLM Explorer