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Bitnet M7 70M by liminerity

 »  All LLMs  »  liminerity  »  Bitnet M7 70M   URL Share it on

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  1bit   Abideen   Autotrain compatible   Bitnet Dataset:abideen/cosmopedia-100...   Endpoints compatible   Liminerity   M7   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/liminerity/Bitnet-M7-70m 

Bitnet M7 70M Benchmarks

LLME Score: 0.18429
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bitnet M7 70M (liminerity/Bitnet-M7-70m)

Bitnet M7 70M Parameters and Internals

Model Type 
1.5bit Quantized Model
Additional Notes 
Second attempt at converting a float16 model to 1.5bit using Liminerity's M7 model.
Training Details 
Data Sources:
abideen/Cosmopedia-100k-pretrain
Methodology:
Converted from float16 to 1.5bit using a special quantization method in Google Colab
Model Architecture:
Llama with BitNet quantization
Input Output 
Input Format:
Text prompt as input
Accepted Modalities:
Text
Output Format:
Text generation output
LLM NameBitnet M7 70M
Repository 🤗https://huggingface.co/liminerity/Bitnet-M7-70m 
Model Size7b
Required VRAM0.3 GB
Updated2025-02-22
Maintainerliminerity
Model Typemistral
Model Files  0.3 GB   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length768
Model Max Length768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/Bitnet-M7-70m.

Rank the Bitnet M7 70M Capabilities

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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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Release v20241227
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