What are the hardware requirements for SpawnPoint Coder 7B AWQ?

SpawnPoint 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 SpawnPoint Coder 7B AWQ and how large is it?

SpawnPoint Coder 7B AWQ is developed by smoky1496, 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 SpawnPoint Coder 7B AWQ?

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

SpawnPoint Coder 7B AWQ by smoky1496 — VRAM 5.6GB, 32K context

Name: SpawnPoint Coder 7B AWQ
Author: smoky1496

SpawnPoint Coder 7B AWQ is an open-source language model by smoky1496. Features: 7b LLM, VRAM: 5.6GB, Context: 32K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.31.

4-bit Awq Codegen Conversational En Endpoints compatible Gamedev Godot Json Quantized Qwen2 Region:us Safetensors Sharded Spawn-point Tensorflow Vi

Model Card on HF 🤗: https://huggingface.co/smoky1496/SpawnPoint-Coder-7B-AWQ

SpawnPoint Coder 7B AWQ Parameters and Internals

LLM Name	SpawnPoint Coder 7B AWQ
Repository 🤗	https://huggingface.co/smoky1496/SpawnPoint-Coder-7B-AWQ
Model Size	7b
Required VRAM	5.6 GB
Updated	2026-10-12
Maintainer	smoky1496
Model Type	qwen2
Model Files	4.5 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en vi
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	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the SpawnPoint Coder 7B AWQ 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

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