What are the hardware requirements for OpenCoder 1.5B Instruct?

OpenCoder 1.5B Instruct requires approximately 3.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenCoder 1.5B Instruct and how large is it?

OpenCoder 1.5B Instruct is developed by infly, 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 OpenCoder 1.5B Instruct?

OpenCoder 1.5B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenCoder 1.5B Instruct by infly — VRAM 3.8GB, 4K context

Name: OpenCoder 1.5B Instruct
Author: infly

OpenCoder 1.5B Instruct is an open-source language model by infly. Features: 1.5b LLM, VRAM: 3.8GB, Context: 4K, License: other, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:2411.04905 Base model:finetune:infly/open... Base model:infly/opencoder-1.5... Conversational Dataset:opencoder-llm/opencode... Dataset:opencoder-llm/opencode... Deploy:azure En Endpoints compatible Instruct Llama Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/infly/OpenCoder-1.5B-Instruct

OpenCoder 1.5B Instruct Parameters and Internals

Model Type

text generation

Additional Notes

OpenCoder is an open and reproducible code LLM family.

Supported Languages

English (fluent), Chinese (fluent)

Training Details

Data Sources:

2.5 trillion tokens composed of 90% raw code and 10% code-related web data

Data Volume:

2.5 trillion tokens

Methodology:

Supervised finetuned on over 450M high-quality SFT examples

Input Output

Accepted Modalities:

text

Output Format:

text

Release Notes

Version:

1.5B and 8B base and chat models

Date:

2024

Notes:

Provides transparency by releasing model weights and training data.

LLM Name	OpenCoder 1.5B Instruct
Repository 🤗	https://huggingface.co/infly/OpenCoder-1.5B-Instruct
Base Model(s)	infly/OpenCoder-1.5B-Base infly/OpenCoder-1.5B-Base
Model Size	1.5b
Required VRAM	3.8 GB
Updated	2026-08-04
Maintainer	infly
Model Type	llama
Instruction-Based	Yes
Model Files	3.8 GB
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0
Tokenizer Class	INFLMTokenizer
Padding Token	<pad>
Vocabulary Size	96640
Torch Data Type	bfloat16

Rank the OpenCoder 1.5B Instruct 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 OpenCoder 1.5B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Meow Clovax V3	128K / 6.3 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than infly/OpenCoder-1.5B-Instruct.