Model Card on HF 🤗: https://huggingface.co/liminerity/m7-64-bitnet-alpaca-1
M7 64 Bitnet Alpaca 1 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
M7 64 Bitnet Alpaca 1 Parameters and Internals
| LLM Name | M7 64 Bitnet Alpaca 1 |
| Repository 🤗 | https://huggingface.co/liminerity/m7-64-bitnet-alpaca-1 |
| Model Size | 269.5m |
| Required VRAM | 0.5 GB |
| Updated | 2025-02-22 |
| Maintainer | liminerity |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to M7 64 Bitnet Alpaca 1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| L6bitney 32layer Slerp | 2K / 0.5 GB | 55 | 0 |
| M7 64 Bitnet Alpaca 3 | 2K / 0.5 GB | 60 | 0 |
| M7 64 Bitnet Alpaca 2 | 2K / 0.5 GB | 21 | 0 |
| M7 Alpaca 270 1bit 6 | 2K / 0.5 GB | 122 | 0 |
| Orpa M7 Alpaca 270 1bit 5 | 2K / 0.5 GB | 121 | 0 |
| Orpa M7 Alpaca 270 1bit 6 | 2K / 0.5 GB | 119 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than liminerity/m7-64-bitnet-alpaca-1 .
Rank the M7 64 Bitnet Alpaca 1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227