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

L6bitney 32layer Slerp by gate369

 »  All LLMs  »  gate369  »  L6bitney 32layer Slerp   URL Share it on

  15   
  Merged Model   Autotrain compatible Base model:finetune:liminerity... Base model:liminerity/m7-64-bi...   Conversational   Endpoints compatible Liminerity/m7-64-bitnet-alpaca...   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gate369/l6bitney-32layer-slerp 

L6bitney 32layer Slerp Benchmarks

LLME Score: 0.17598
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
🌟 Advertise your project 🚀

L6bitney 32layer Slerp Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
The model is a merge of two identical models using LazyMergekit with slerp method.
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameL6bitney 32layer Slerp
Repository 🤗https://huggingface.co/gate369/l6bitney-32layer-slerp 
Base Model(s)  M7 64 Bitnet Alpaca 3   M7 64 Bitnet Alpaca 3   liminerity/m7-64-bitnet-alpaca-3   liminerity/m7-64-bitnet-alpaca-3
Merged ModelYes
Model Size269.5m
Required VRAM0.5 GB
Updated2025-06-10
Maintainergate369
Model Typemistral
Model Files  0.5 GB: 1-of-1
Model ArchitectureMistralForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
L6bitney 32layer Slerp (gate369/l6bitney-32layer-slerp)

Best Alternatives to L6bitney 32layer Slerp

Best Alternatives
Context / RAM
Downloads
Likes
M7 64 Bitnet Alpaca 32K / 0.5 GB450
M7 64 Bitnet Alpaca 12K / 0.5 GB490
M7 64 Bitnet Alpaca 22K / 0.5 GB130
M7 Alpaca 270 1bit 62K / 0.5 GB340
Orpa M7 Alpaca 270 1bit 52K / 0.5 GB140
Orpa M7 Alpaca 270 1bit 62K / 0.5 GB140
Note: green Score (e.g. "73.2") means that the model is better than gate369/l6bitney-32layer-slerp.

Rank the L6bitney 32layer Slerp 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? 48075 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 v20241124
  Support LLM Explorer