What are the hardware requirements for Claude Kimiko?

Claude Kimiko requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Claude Kimiko and how large is it?

Claude Kimiko is developed by Chat-Error. 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 Claude Kimiko?

Claude Kimiko is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Claude Kimiko by Chat-Error — VRAM 0.3GB

Name: Claude Kimiko
Author: Chat-Error

Claude Kimiko is an open-source language model by Chat-Error. Features: LLM, VRAM: 0.3GB, Quantized, LLM Explorer Score: 0.11.

Arxiv:1910.09700 4-bit Adapter Base model:adapter:chat-error/... Base model:chat-error/mistral-... Bitsandbytes Endpoints compatible Finetuned Gguf Lora Mistral Peft Q4 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Chat-Error/Claude-Kimiko

Claude Kimiko Parameters and Internals

LLM Name	Claude Kimiko
Repository 🤗	https://huggingface.co/Chat-Error/Claude-Kimiko
Base Model(s)	Mistral Kimiko CSFT Chat-Error/Mistral-Kimiko-CSFT
Required VRAM	0.3 GB
Updated	2026-10-08
Maintainer	Chat-Error
Model Files	4.4 GB 4.4 GB 0.3 GB
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	Adapter
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|q_proj\|v_proj\|k_proj\|gate_proj\|o_proj\|down_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	32

Rank the Claude Kimiko capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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
Code Generation
Multi-Language Support and Translation

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... Mel Gemma4 E4b Reasoning Lora	0K / 0.4 GB	34	1
Dronam V1	0K / 0.1 GB	14	0
...5 Mini Instruct Hermes Fc Json	0K / 0.1 GB	8	1
NaturalLanguagePioneersSTEMExp	0K / 0.4 GB	9	0
Mymodel	0K / 0.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Chat-Error/Claude-Kimiko.