Llm Jp 3.1 1.8B Instruct4 4bit by mlx-community

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Llm Jp 3.1 1.8B Instruct4 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm Jp 3.1 1.8B Instruct4 4bit (mlx-community/llm-jp-3.1-1.8b-instruct4-4bit)
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Llm Jp 3.1 1.8B Instruct4 4bit Parameters and Internals

LLM NameLlm Jp 3.1 1.8B Instruct4 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/llm-jp-3.1-1.8b-instruct4-4bit 
Base Model(s)  llm-jp/llm-jp-3.1-1.8b-instruct4   llm-jp/llm-jp-3.1-1.8b-instruct4
Model Size1.8b
Required VRAM1.1 GB
Updated2025-11-11
Maintainermlx-community
Model Typellama
Model Files  1.1 GB
Supported Languagesen ja
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.47.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<PAD|LLM-jp>
Vocabulary Size99584
Torch Data Typebfloat16

Quantized Models of the Llm Jp 3.1 1.8B Instruct4 4bit

Model
Likes
Downloads
VRAM
...m Jp 3.1 1.8B Function Calling0173 GB

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...m Jp 3.1 1.8B Function Calling4K / 3.7 GB170
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EasyContext 256K Danube2 1.8B8K / 3.7 GB05
Llm Jp 3.1 1.8B Instruct44K / 3.7 GB5589714
Llm Jp 3 1.8B Instruct34K / 3.7 GB10992
Llm Jp 3 1.8B4K / 3.7 GB75116
Llm Jp 3 1.8B Instruct4K / 3.7 GB39625
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Llm Jp 3 1.8B Instruct4K / 3.7 GB160
Tinyllama 1.8B Trismegistus2K / 1.9 GB73
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/llm-jp-3.1-1.8b-instruct4-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124