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

NeuralHermes 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 NeuralHermes Mistral 13B DARE Blended FAILURE and how large is it?

NeuralHermes 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 NeuralHermes Mistral 13B DARE Blended FAILURE?

NeuralHermes 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.

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

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

NeuralHermes 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/NeuralHermes-Mistral-13b-DARE_blended-FAILURE

NeuralHermes Mistral 13B DARE Blended FAILURE Parameters and Internals

Model Type

text generation

Additional Notes

There seems to be an issue with the recipe's balance when applying to 13b Mistral models.

Input Output

Performance Tips:

Inverting and merging techniques work well for certain models, but may require adjustments or further study for others, such as the 13b Mistrals.

LLM Name	NeuralHermes Mistral 13B DARE Blended FAILURE
Repository 🤗	https://huggingface.co/athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE
Model Size	13b
Required VRAM	26.7 GB
Updated	2026-03-31
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 NeuralHermes Mistral 13B DARE Blended FAILURE 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 NeuralHermes 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	6	0

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