What are the hardware requirements for WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ?

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ requires approximately 5.6 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 WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ and how large is it?

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ is developed by Sharunkrish, a model with 7b 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 WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ?

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ by Sharunkrish — VRAM 5.6GB, 32K context

Name: WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ
Author: Sharunkrish

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ is an open-source language model by Sharunkrish. Features: 7b LLM, VRAM: 5.6GB, Context: 32K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.27.

4-bit 4bit Awq Base model:quantized:whiterabb... Base model:whiterabbitneo/whit... Code Codegen Conversational Cybersecurity En Quantized Qwen2 Qwen2.5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/Sharunkrish/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-AWQ

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ Parameters and Internals

LLM Name	WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ
Repository 🤗	https://huggingface.co/Sharunkrish/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-AWQ
Base Model(s)	WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B
Model Size	7b
Required VRAM	5.6 GB
Updated	2026-10-17
Maintainer	Sharunkrish
Model Type	qwen2
Model Files	4.5 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.18.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<pad>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ 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 WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
SpawnPoint Coder 7B AWQ	32K / 5.6 GB	148	2
Qwen2.5 Coder 7B Instruct AWQ	32K / 5.7 GB	563249	1
Qwen2.5 Coder 7B Instruct AWQ	32K / 5.6 GB	316581	24
Kronumos Kairos V2	32K / 15.2 GB	915	2
Qwen2.5 7B Security Cot	32K / 15.2 GB	364	2
Text2sql Qwen2.5 Duckdb	32K / 15.2 GB	336	1
...query Qwen2.5 7B V5.2 Hardened	32K / 15.2 GB	118	1
Securereview 7B Mlx 4bit	32K / 4.3 GB	22	4
...2.5 Coder 7B Instruct Bnb 4bit	32K / 5.5 GB	74132	13
Qwen2.5 CoderX 7B V0.7	32K / 15.2 GB	5	2

Note: green Score (e.g. "73.2") means that the model is better than Sharunkrish/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-AWQ.