What are the hardware requirements for NeuralExperiment 7B MagicCoder V7.5?

NeuralExperiment 7B MagicCoder V7.5 requires approximately 14.4 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 NeuralExperiment 7B MagicCoder V7.5 and how large is it?

NeuralExperiment 7B MagicCoder V7.5 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 NeuralExperiment 7B MagicCoder V7.5 perform on standard benchmarks?

NeuralExperiment 7B MagicCoder V7.5 has the following published scores: MMLU 64.62. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuralExperiment 7B MagicCoder V7.5 by Kukedlc — VRAM 14.4GB, 32K context

Name: NeuralExperiment 7B MagicCoder V7.5
Author: Kukedlc

NeuralExperiment 7B MagicCoder V7.5 is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2, Arc: 71.3, HellaSwag: 87.9, MMLU: 64.6, GSM8K: 66.2.

Dataset:ise-uiuc/magicoder-evo... Dataset:microsoft/orca-math-wo... Dataset:vezora/tested-22k-pyth... Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5

NeuralExperiment 7B MagicCoder V7.5 Parameters and Internals

Additional Notes

Users interested in replicating or extending this training can find the Kaggle notebook in my profile or request it for collaborative purposes.

Training Details

Data Sources:

microsoft/orca-math-word-problems-200k, ise-uiuc/Magicoder-Evol-Instruct-110K, sahil2801/CodeAlpaca-20k

Data Volume:

20,000 data points per dataset

Methodology:

Fine-tuning from the last layer (31) backward with a gradually decreasing learning rate to address the 'INSTINST' bug

Hardware Used:

Kaggle's free GPU environment

LLM Name	NeuralExperiment 7B MagicCoder V7.5
Repository 🤗	https://huggingface.co/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-07
Maintainer	Kukedlc
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
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	float16

Rank the NeuralExperiment 7B MagicCoder V7.5 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 NeuralExperiment 7B MagicCoder V7.5

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	13	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	18	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Copywriting Llm	32K / 4.1 GB	122	1

Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5.