What are the hardware requirements for Gen Sql 4B Thinking AWQ?

Gen Sql 4B Thinking AWQ requires approximately 3.5 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gen Sql 4B Thinking AWQ and how large is it?

Gen Sql 4B Thinking AWQ is developed by researchsocaai, a model with 4b 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 Gen Sql 4B Thinking AWQ?

Gen Sql 4B Thinking AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gen Sql 4B Thinking AWQ by researchsocaai — VRAM 3.5GB, 40K context

Name: Gen Sql 4B Thinking AWQ
Author: researchsocaai

Gen Sql 4B Thinking AWQ is an open-source language model by researchsocaai. Features: 4b LLM, VRAM: 3.5GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

4-bit Awq Base model:quantized:researchs... Base model:researchsocaai/gen-... Bitsandbytes Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/researchsocaai/gen-sql-4b-thinking-awq

Gen Sql 4B Thinking AWQ Parameters and Internals

LLM Name	Gen Sql 4B Thinking AWQ
Repository 🤗	https://huggingface.co/researchsocaai/gen-sql-4b-thinking-awq
Base Model(s)	dwikitheduck/gen-sql-thinking-awq dwikitheduck/gen-sql-thinking-awq
Model Size	4b
Required VRAM	3.5 GB
Updated	2026-07-28
Maintainer	researchsocaai
Model Type	qwen3
Model Files	3.5 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Gen Sql 4B Thinking 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 Gen Sql 4B Thinking AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B AWQ	40K / 2.7 GB	463285	32
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	99879	17
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
FastContext 1.0 4B SFT 8bit	256K / 4.3 GB	120	1
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0

Note: green Score (e.g. "73.2") means that the model is better than researchsocaai/gen-sql-4b-thinking-awq.