Talkie Box 8bit is an open-source language model by mlx-community. Features: 12.9b LLM, VRAM: 14.5GB, Context: 2K, Quantized, LLM Explorer Score: 0.32.
Model Card on HF 🤗: https://huggingface.co/mlx-community/talkie-box-8bit
Talkie Box 8bit 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)
Talkie Box 8bit Parameters and Internals
| LLM Name | Talkie Box 8bit |
| Repository 🤗 | https://huggingface.co/mlx-community/talkie-box-8bit |
| Model Size | 12.9b |
| Required VRAM | 14.5 GB |
| Updated | 2026-05-01 |
| Maintainer | mlx-community |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 8bit |
| Model Architecture | TalkieForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 65536 |
| Torch Data Type | bfloat16 |
Rank the Talkie Box 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a