M7 64 Bitnet Alpaca 3 by liminerity

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  Autotrain compatible Base model:finetune:liminerity... Base model:liminerity/m7-64-bi...   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Trl   Unsloth

M7 64 Bitnet Alpaca 3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
M7 64 Bitnet Alpaca 3 (liminerity/m7-64-bitnet-alpaca-3)

M7 64 Bitnet Alpaca 3 Parameters and Internals

Model Type 
mistral
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameM7 64 Bitnet Alpaca 3
Repository ๐Ÿค—https://huggingface.co/liminerity/m7-64-bitnet-alpaca-3 
Base Model(s)  M7 64 Bitnet Alpaca 2   liminerity/m7-64-bitnet-alpaca-2
Model Size269.5m
Required VRAM0.5 GB
Updated2025-02-22
Maintainerliminerity
Model Typemistral
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/m7-64-bitnet-alpaca-3.

Rank the M7 64 Bitnet Alpaca 3 Capabilities

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