Bitnet B1 58 Large Q8 0 Gguf 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)
Bitnet B1 58 Large Q8 0 Gguf Parameters and Internals
| LLM Name | Bitnet B1 58 Large Q8 0 Gguf |
| Repository 🤗 | https://huggingface.co/BoscoTheDog/bitnet_b1_58-large_q8_0_gguf |
| Model Size | 3b |
| Required VRAM | 0.8 GB |
| Updated | 2024-11-15 |
| Maintainer | BoscoTheDog |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q8|q8_0 |
| Model Architecture | BitnetForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.0 |
| Tokenizer Class | BitnetTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to Bitnet B1 58 Large Q8 0 Gguf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Bitnet B1 58 3B | 2K / 13.3 GB | 7612 | 238 |
| Bitnet 5B V1 | 2K / 9.2 GB | 32 | 1 |
| Bitnet B1 58 3B Coder | 2K / 6.6 GB | 50 | 1 |
| Bitnet B1 58 3B Quantized | 2K / 1.1 GB | 12 | 12 |
Note: green Score (e.g. "73.2") means that the model is better than BoscoTheDog/bitnet_b1_58-large_q8_0_gguf .
Rank the Bitnet B1 58 Large Q8 0 Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110