What are the hardware requirements for Mistral C64Wizard Instruct GGUF?

Mistral C64Wizard Instruct GGUF requires approximately 4.4 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 C64Wizard Instruct GGUF and how large is it?

Mistral C64Wizard Instruct GGUF is developed by pechaut. 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 C64Wizard Instruct GGUF?

Mistral C64Wizard Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral C64Wizard Instruct GGUF by pechaut — VRAM 4.4GB, 32K context

Name: Mistral C64Wizard Instruct GGUF
Author: pechaut

Mistral C64Wizard Instruct GGUF is an open-source language model by pechaut. Features: LLM, VRAM: 4.4GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Gguf Instruct Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pechaut/Mistral-C64Wizard-instruct-GGUF

Mistral C64Wizard Instruct GGUF Parameters and Internals

LLM Name	Mistral C64Wizard Instruct GGUF
Repository 🤗	https://huggingface.co/pechaut/Mistral-C64Wizard-instruct-GGUF
Required VRAM	4.4 GB
Updated	2026-07-06
Maintainer	pechaut
Model Type	mistral
Instruction-Based	Yes
Model Files	4.4 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	▁liegt
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral C64Wizard Instruct GGUF 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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...ini New Model With Lora Merged	4K / 7.6 GB	16	0
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Note: green Score (e.g. "73.2") means that the model is better than pechaut/Mistral-C64Wizard-instruct-GGUF.