Bessie Bitnet Instruct 100K Gguf is an open-source language model by BoscoTheDog. Features: LLM, VRAM: 0.8GB, Context: 2K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/BoscoTheDog/Bessie_bitnet_instruct_100k_gguf
Bessie Bitnet Instruct 100k 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)
Bessie Bitnet Instruct 100K Gguf Parameters and Internals
| LLM Name | Bessie Bitnet Instruct 100k Gguf |
| Repository 🤗 | https://huggingface.co/BoscoTheDog/Bessie_bitnet_instruct_100k_gguf |
| Required VRAM | 0.8 GB |
| Updated | 2026-03-17 |
| Maintainer | BoscoTheDog |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| 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 Bessie Bitnet Instruct 100K Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a