What are the hardware requirements for Neuron V1 Distill Qwen2 14B?

Neuron V1 Distill Qwen2 14B requires approximately 29.7 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 Neuron V1 Distill Qwen2 14B and how large is it?

Neuron V1 Distill Qwen2 14B is developed by Neura-Tech-AI, a model with 14b 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 Neuron V1 Distill Qwen2 14B?

Neuron V1 Distill Qwen2 14B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Neuron V1 Distill Qwen2 14B by Neura-Tech-AI — VRAM 29.7GB, 32K context

Name: Neuron V1 Distill Qwen2 14B
Author: Neura-Tech-AI

Neuron V1 Distill Qwen2 14B is an open-source language model by Neura-Tech-AI. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

14b Conversational Dataset:custom-neura-tech-data En Endpoints compatible Gguf Hi Neura-tech-ai Neural-networks Neuron Q6 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Neura-Tech-AI/Neuron-V1-Distill-Qwen2-14B

Neuron V1 Distill Qwen2 14B Parameters and Internals

LLM Name	Neuron V1 Distill Qwen2 14B
Repository 🤗	https://huggingface.co/Neura-Tech-AI/Neuron-V1-Distill-Qwen2-14B
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-06-06
Maintainer	Neura-Tech-AI
Model Type	qwen2
Model Files	12.1 GB 4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en hi
GGUF Quantization	Yes
Quantization Type	q6\|gguf
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.0.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Neuron V1 Distill Qwen2 14B 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 Neuron V1 Distill Qwen2 14B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B DeepSeek R1 1M	986K / 29.7 GB	1137	54
JiRackUltra 14b	128K / 5.8 GB	637651	2
AceReason Nemotron 14B GGUF	128K / 3.8 GB	586	9
... 14B MegaMerge Pt2 Q5 K M GGUF	128K / 10.5 GB	19	2
...omboCombo R1 Coder 14B Preview	32K / 29.7 GB	56	3
Neuron V1 14B Instruct	32K / 29.7 GB	188	4
...er 14B Instruct Abliterated V1	32K / 29.7 GB	7	3
Qwen1.5 14B Chat GGUF	32K / 6.1 GB	237	4
Qwen2.5 14B Instruct 1M 8bit	986K / 15.7 GB	430	12
Qwen2.5 14B Instruct 1M 4bit	986K / 8.3 GB	379	2

Note: green Score (e.g. "73.2") means that the model is better than Neura-Tech-AI/Neuron-V1-Distill-Qwen2-14B.