What are the hardware requirements for NeuralSirKrishna 7B?

NeuralSirKrishna 7B requires approximately 14.5 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 NeuralSirKrishna 7B and how large is it?

NeuralSirKrishna 7B is developed by Kukedlc, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NeuralSirKrishna 7B perform on standard benchmarks?

NeuralSirKrishna 7B has the following published scores: MMLU 64.63. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuralSirKrishna 7B by Kukedlc — VRAM 14.5GB, 32K context

Name: NeuralSirKrishna 7B
Author: Kukedlc

NeuralSirKrishna 7B is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 73.7, HellaSwag: 89.1, MMLU: 64.6, GSM8K: 71.3.

Merged Model Base model:kukedlc/neuralkrish... Base model:kukedlc/neuralmario... Base model:liminerity/m7-7b Endpoints compatible Kukedlc/neuralkrishna-7b-v3 Kukedlc/neuralmariomonarch-7b-... Liminerity/m7-7b Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralSirKrishna-7b

NeuralSirKrishna 7B Parameters and Internals

Model Type

text-generation

Additional Notes

NeuralKrishna-7B-v4 is a merge of NeuralKrishna-7B-v3, NeuralMarioMonarch-7B-slerp, and liminerity/M7-7b models using LazyMergekit.

LLM Name	NeuralSirKrishna 7B
Repository 🤗	https://huggingface.co/Kukedlc/NeuralSirKrishna-7b
Base Model(s)	NeuralKrishna 7B V3 NeuralMarioMonarch 7B Slerp M7 7B Kukedlc/NeuralKrishna-7B-v3 Kukedlc/NeuralMarioMonarch-7B-slerp liminerity/M7-7b
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-21
Maintainer	Kukedlc
Model Type	mistral
Model Files	9.8 GB: 1-of-2 4.7 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the NeuralSirKrishna 7B 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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Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralSirKrishna-7b.