What are the hardware requirements for Karasu Chatvector Mlx Lm Chatalpaca?

Karasu Chatvector Mlx Lm Chatalpaca requires approximately 0.9 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Karasu Chatvector Mlx Lm Chatalpaca and how large is it?

Karasu Chatvector Mlx Lm Chatalpaca is developed by aipib, a model with 1.1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Karasu Chatvector Mlx Lm Chatalpaca?

Karasu Chatvector Mlx Lm Chatalpaca is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Karasu Chatvector Mlx Lm Chatalpaca by aipib — VRAM 0.9GB, 2K context

Name: Karasu Chatvector Mlx Lm Chatalpaca
Author: aipib

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 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 Name	Karasu Chatvector Mlx Lm Chatalpaca
Repository 🤗	https://huggingface.co/aipib/karasu-chatvector-mlx_lm-chatalpaca
Model Size	1.1b
Required VRAM	0.9 GB
Updated	2026-07-30
Maintainer	aipib
Model Type	llama
Model Files	2.2 GB 0.9 GB 2.2 GB
Supported Languages	ja en
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|q6\|gguf
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.39.0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Karasu Chatvector Mlx Lm Chatalpaca capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
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Multi-Language Support and Translation

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