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MHENNlitv2 by netcat420

 »  All LLMs  »  netcat420  »  MHENNlitv2   URL Share it on

  15   
  Autotrain compatible   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MHENNlitv2 

MHENNlitv2 Benchmarks

LLME Score: 0.16368
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MHENNlitv2 (netcat420/MHENNlitv2)

MHENNlitv2 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
MHENNlitv2 dataset
Release Notes 
Version:
Next Version
Notes:
Finetuned on the MHENNlitv2 dataset. Available in 4-bit quantized version as MHENNlitv2Q4_K_M.gguf.
LLM NameMHENNlitv2
Repository 🤗https://huggingface.co/netcat420/MHENNlitv2 
Model Size7.2b
Required VRAM28.9 GB
Updated2024-12-27
Maintainernetcat420
Model Typemistral
Model Files  4.4 GB   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
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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...Sft Bnb 4bit DPO Mtbr 180steps32K / 14.4 GB150
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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MHENNlitv2.

Rank the MHENNlitv2 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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