Model Card on HF 🤗: https://huggingface.co/liminerity/lb6
Lb6 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)
Lb6 Parameters and Internals
| LLM Name | Lb6 |
| Repository 🤗 | https://huggingface.co/liminerity/lb6 |
| Model Size | 961.7m |
| Required VRAM | 1.9 GB |
| Updated | 2025-06-11 |
| 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 |
Rank the Lb6 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124