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Karasu Chatvector Mlx Lm Chatalpaca by aipib

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Karasu Chatvector Mlx Lm Chatalpaca is an open-source language model by aipib. Features: 1.1b LLM, VRAM: 0.9GB, Context: 2K, Quantized, LLM Explorer Score: 0.13.

  Conversational Dataset:shi3z/alpaca cleaned j...   En   Endpoints compatible   F16   Ggml   Gguf   Ja   Llama   Niryuu/karasu-1.1b-chat-vector   Q6   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/aipib/karasu-chatvector-mlx_lm-chatalpaca 

Karasu Chatvector Mlx Lm Chatalpaca Benchmarks

LLME Score: 0.12851
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Karasu Chatvector Mlx Lm Chatalpaca (aipib/karasu-chatvector-mlx_lm-chatalpaca)

Karasu Chatvector Mlx Lm Chatalpaca Parameters and Internals

Supported Languages 
Japanese (unknown), English (unknown)
Training Details 
Data Sources:
shi3z/alpaca_cleaned_ja_json
Methodology:
fine tuning with lora method using mlx's chat-template
LLM NameKarasu Chatvector Mlx Lm Chatalpaca
Repository 🤗https://huggingface.co/aipib/karasu-chatvector-mlx_lm-chatalpaca 
Model Size1.1b
Required VRAM0.9 GB
Updated2026-07-30
Maintaineraipib
Model Typellama
Model Files  2.2 GB   0.9 GB   2.2 GB
Supported Languagesja en
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q6|gguf
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.39.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aipib/karasu-chatvector-mlx_lm-chatalpaca.

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