What are the hardware requirements for Candle Tiny Mistral?

Candle Tiny Mistral requires approximately 0.4 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 Candle Tiny Mistral and how large is it?

Candle Tiny Mistral is developed by DanielClough. 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 Candle Tiny Mistral?

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

Candle Tiny Mistral by DanielClough — VRAM 0.4GB, 32K context

Name: Candle Tiny Mistral
Author: DanielClough

Candle Tiny Mistral is an open-source language model by DanielClough. Features: LLM, VRAM: 0.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Dataset:openaccess-ai-collecti... En Endpoints compatible Gguf Mistral Q4 Quantized Region:us Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_tiny-mistral

Candle Tiny Mistral Parameters and Internals

Model Type

text-generation

Additional Notes

This repo includes `.gguf` built for HuggingFace/Candle and will not work with `llama.cpp`.

Supported Languages

languages_supported (en), proficiency_level ()

LLM Name	Candle Tiny Mistral
Repository 🤗	https://huggingface.co/DanielClough/Candle_tiny-mistral
Required VRAM	0.4 GB
Updated	2026-10-09
Maintainer	DanielClough
Model Type	mistral
Model Files	0.4 GB 0.1 GB 0.1 GB 0.1 GB 0.1 GB 0.1 GB 0.1 GB 0.2 GB 0.1 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.4 GB: 1-of-1
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Candle Tiny Mistral 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

Best Alternatives to Candle Tiny Mistral

Best Alternatives	Context / RAM	Downloads	Likes
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1139	66
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1293	11
Devstral Small 2505 GGUF	128K / 0.9 GB	2866	117
...dle Snorkel Mistral PairRM DPO	32K / 14.4 GB	181	0
...istral C64Wizard Instruct GGUF	32K / 4.4 GB	19	0
Candle MistralTrix V1	32K / 17.9 GB	420	0
Mistral 7B1.0 GGUF	32K / 5.1 GB	9	0
Equall Saul Instruct V1	32K / 5.1 GB	30	0
AI G Expander V5 GGUF	32K / 4.4 GB	11	0
MHENN4 GGUF	32K / 4.4 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_tiny-mistral.