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M7 64 Bitnet Alpaca 2 by liminerity

 »  All LLMs  »  liminerity  »  M7 64 Bitnet Alpaca 2   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/liminerity/m7-64-bitnet-alpaca-2 

M7 64 Bitnet Alpaca 2 Benchmarks

LLME Score: 0.17485
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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M7 64 Bitnet Alpaca 2 Parameters and Internals

Training Details 
Methodology:
Continuously fitting the model on more and more data over the past 2 months.
Training Time:
2 months
LLM NameM7 64 Bitnet Alpaca 2
Repository 🤗https://huggingface.co/liminerity/m7-64-bitnet-alpaca-2 
Model Size269.5m
Required VRAM0.5 GB
Updated2025-06-09
Maintainerliminerity
Model Typemistral
Model Files  0.5 GB
Model ArchitectureMistralForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
M7 64 Bitnet Alpaca 2 (liminerity/m7-64-bitnet-alpaca-2)

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M7 64 Bitnet Alpaca 12K / 0.5 GB350
M7 64 Bitnet Alpaca 32K / 0.5 GB210
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Orpa M7 Alpaca 270 1bit 52K / 0.5 GB120
Orpa M7 Alpaca 270 1bit 62K / 0.5 GB110
Note: green Score (e.g. "73.2") means that the model is better than liminerity/m7-64-bitnet-alpaca-2.

Rank the M7 64 Bitnet Alpaca 2 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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