What are the hardware requirements for Mistral Kimiko CSFT?

Mistral Kimiko CSFT requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Kimiko CSFT and how large is it?

Mistral Kimiko CSFT is developed by Chat-Error, a model with 7.2b 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 Mistral Kimiko CSFT?

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

Mistral Kimiko CSFT by Chat-Error — VRAM 14.4GB, 32K context

Name: Mistral Kimiko CSFT
Author: Chat-Error

Mistral Kimiko CSFT is an open-source language model by Chat-Error. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, Quantized, LLM Explorer Score: 0.1.

Endpoints compatible Ggml Gguf Mistral Q5 Quantized Region:us Safetensors Sharded Tensorflow

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

Mistral Kimiko CSFT Parameters and Internals

LLM Name	Mistral Kimiko CSFT
Repository 🤗	https://huggingface.co/Chat-Error/Mistral-Kimiko-CSFT
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-08-24
Maintainer	Chat-Error
Model Type	mistral
Model Files	4.0 GB 5.1 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|q5\|gguf\|q5_k
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral Kimiko CSFT 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

Quantized Models of the Mistral Kimiko CSFT

Model	Likes	Downloads	VRAM
Claude Kimiko	1	34	0 GB

Best Alternatives to Mistral Kimiko CSFT

Best Alternatives	Context / RAM	Downloads	Likes
Philosophy Mistral	32K / 7.7 GB	126	14
...illHave30DolarInMyAzureAccount	32K / 14.4 GB	6	0
Spydaz Web AGI DeepThink	128K / 14.4 GB	14	1
...daz Web AI Pre Train Align 004	128K / 14.4 GB	28	0
Zion Alpha	32K / 14.4 GB	57	4
LCARS AI 001	32K / 14.4 GB	14	4
Mixtral Quantized	32K / 14.4 GB	6	0
Mayonnaise 4in1 02	32K / 14.4 GB	105	0
Zsql En Postgres	32K / 14.4 GB	64	5
MHENNlitv3	32K / 28.9 GB	12	0

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