What are the hardware requirements for Pulsar Coder V1?

Pulsar Coder V1 requires approximately 3.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pulsar Coder V1 and how large is it?

Pulsar Coder V1 is developed by Sonorix, a model with 1.5b 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 Pulsar Coder V1?

Pulsar Coder V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pulsar Coder V1 by Sonorix — VRAM 3.1GB, 128K context

Name: Pulsar Coder V1
Author: Sonorix

Pulsar Coder V1 is an open-source language model by Sonorix. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.31.

Base model:dphn/dolphin3.0-qwe... Base model:finetune:dphn/dolph... Codegen Coder Conversational En Pulsar Qwen2 Region:us Ru Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/Sonorix/pulsar-coder-v1

Pulsar Coder V1 Parameters and Internals

LLM Name	Pulsar Coder V1
Repository 🤗	https://huggingface.co/Sonorix/pulsar-coder-v1
Model Name	pulsar-coder-v1
Base Model(s)	cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-09-19
Maintainer	Sonorix
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	ru en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Pulsar Coder V1 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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Merge Cord V1	128K / 3.1 GB	155	1
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
SlopCoder Mongo 1.5B Full	32K / 3.1 GB	64	0
Coder O1 Mini Reasoning	32K / 3.1 GB	644	0
Pulsar Coder 1.5B	32K / 3.1 GB	13	0
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	695585	134
Mythos Qwen 1.5B Final	32K / 3.1 GB	104	1
Microcoder 1.5B	32K / 3.1 GB	20	4
Qwen2.5 Coder 1.5B	32K / 3.1 GB	197356	95
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	69796	6