What are the hardware requirements for CleverMage Mistral 13B DARE Blended FAILURE?

CleverMage Mistral 13B DARE Blended FAILURE requires approximately 26.7 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 CleverMage Mistral 13B DARE Blended FAILURE and how large is it?

CleverMage Mistral 13B DARE Blended FAILURE is developed by athirdpath, a model with 13b 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 CleverMage Mistral 13B DARE Blended FAILURE?

CleverMage Mistral 13B DARE Blended FAILURE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CleverMage Mistral 13B DARE Blended FAILURE by athirdpath — VRAM 26.7GB, 32K context

Name: CleverMage Mistral 13B DARE Blended FAILURE
Author: athirdpath

CleverMage Mistral 13B DARE Blended FAILURE is an open-source language model by athirdpath. Features: 13b LLM, VRAM: 26.7GB, Context: 32K, LLM Explorer Score: 0.1.

Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/athirdpath/CleverMage-Mistral-13b-DARE_blended-FAILURE

CleverMage Mistral 13B DARE Blended FAILURE Parameters and Internals

Model Type

Natural Language Processing

Additional Notes

This model is part of a merge experiment involving multiple Mistral 13b models, with specific weights and densities applied in a unique configuration to study potential performance improvements and behaviors.

LLM Name	CleverMage Mistral 13B DARE Blended FAILURE
Repository 🤗	https://huggingface.co/athirdpath/CleverMage-Mistral-13b-DARE_blended-FAILURE
Model Size	13b
Required VRAM	26.7 GB
Updated	2026-06-04
Maintainer	athirdpath
Model Type	mistral
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.9 GB: 3-of-3
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the CleverMage Mistral 13B DARE Blended FAILURE 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
Code Generation
Multi-Language Support and Translation

Best Alternatives to CleverMage Mistral 13B DARE Blended FAILURE

Best Alternatives	Context / RAM	Downloads	Likes
LuminRP 13B 128K V0.5	128K / 25.1 GB	9	2
Breeze 13B 32K Instruct V1.0	32K / 25.6 GB	8	0
Power WizardLM 2 13B	32K / 25 GB	16	2
Mistral V0.3 13B 32K Base V1	32K / 25.2 GB	7	0
Breeze 13B 32K Base V1.0	32K / 25.6 GB	7	0
Pandora 13B V1	32K / 24.9 GB	95	2
Pandora V1 13B	32K / 24.9 GB	5	3
BigMistral 13B GLUED	32K / 26.6 GB	15	1
BigMistral 13B	32K / 26.7 GB	1	2
...stral 13B DARE Blended FAILURE	32K / 26.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than athirdpath/CleverMage-Mistral-13b-DARE_blended-FAILURE.