What are the hardware requirements for Stable Code Instruct 3B AWQ?

Stable Code Instruct 3B AWQ requires approximately 1.8 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Stable Code Instruct 3B AWQ and how large is it?

Stable Code Instruct 3B AWQ is developed by TechxGenus, a model with 3b 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 Stable Code Instruct 3B AWQ?

Stable Code Instruct 3B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stable Code Instruct 3B AWQ by TechxGenus — VRAM 1.8GB, 16K context

Name: Stable Code Instruct 3B AWQ
Author: TechxGenus

Stable Code Instruct 3B AWQ is an open-source language model by TechxGenus. Features: 3b LLM, VRAM: 1.8GB, Context: 16K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:2305.18290 4-bit Awq Code Conversational En Endpoints compatible Instruct Model-index Quantized Region:us Safetensors Stablelm

Model Card on HF 🤗: https://huggingface.co/TechxGenus/stable-code-instruct-3b-AWQ

Stable Code Instruct 3B AWQ Parameters and Internals

Model Type

auto-regressive language model, transformer decoder

Use Cases

Primary Use Cases:

General purpose Code/Software Engineering, SQL related generation and conversation

Limitations:

Codes for specific tasks may not execute properly if not within the model's training scope

Additional Notes

The model can be accessed on the Stability AI's Hugging Face page for performance insights.

Supported Languages

English (fluent)

Training Details

Data Sources:

publicly available datasets, synthetic datasets using Direct Preference Optimization (DPO)

Methodology:

Instruct-tuned from stable-code-3b

Model Architecture:

decoder-only language model

Input Output

Accepted Modalities:

text

LLM Name	Stable Code Instruct 3B AWQ
Repository 🤗	https://huggingface.co/TechxGenus/stable-code-instruct-3b-AWQ
Model Size	3b
Required VRAM	1.8 GB
Updated	2026-07-27
Maintainer	TechxGenus
Model Type	stablelm
Instruction-Based	Yes
Model Files	1.8 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	StableLmForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.3
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	float16

Rank the Stable Code Instruct 3B 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 Stable Code Instruct 3B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Stable Code Instruct 3B 4bit	16K / 1.8 GB	52	5
Stable Cypher Instruct 3B	16K / 1.7 GB	864	34
Stable Code Instruct 3B	16K / 5.6 GB	2134	189
Stable Cypher Instruct 3B	16K / 1.7 GB	263	26
...t 3B Mix Spider Bird 200 Steps	16K / 5.6 GB	9	0
...struct 3B Spider 1500 Steps Q4	16K / 1.7 GB	36	0
... Instruct 3B Spider 3500 Steps	16K / 11.2 GB	5	0
Stablelm Zephyr 3B	4K / 5.6 GB	25834	261
ReMask 3B	4K / 11.2 GB	71	16

Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/stable-code-instruct-3b-AWQ.