Model Card on HF 🤗: https://huggingface.co/BoscoTheDog/bitnet_instruct_q16_gguf
Bitnet Instruct Q16 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 Instruct Q16 Gguf Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Bitnet Instruct Q16 Gguf |
| Repository 🤗 | https://huggingface.co/BoscoTheDog/bitnet_instruct_q16_gguf |
| Model Size | 728.8m |
| Required VRAM | 2.9 GB |
| Updated | 2025-02-22 |
| Maintainer | BoscoTheDog |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q16 |
| Model Architecture | BitnetForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 32002 |
| Torch Data Type | float32 |
Rank the Bitnet Instruct Q16 Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227