What are the hardware requirements for OpenClaude 1.7B Merged?

OpenClaude 1.7B Merged 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 OpenClaude 1.7B Merged and how large is it?

OpenClaude 1.7B Merged is developed by AvelonLabs, a model with 1.7b 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 OpenClaude 1.7B Merged?

OpenClaude 1.7B Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenClaude 1.7B Merged by AvelonLabs — VRAM 3.5GB, 40K context

Name: OpenClaude 1.7B Merged
Author: AvelonLabs

OpenClaude 1.7B Merged is an open-source language model by AvelonLabs. Features: 1.7b LLM, VRAM: 3.5GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Dataset:angrygiraffe/claude-op... Dataset:lordx64/reasoning-dist... En Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AvelonLabs/OpenClaude-1.7B-Merged

OpenClaude 1.7B Merged Parameters and Internals

LLM Name	OpenClaude 1.7B Merged
Repository 🤗	https://huggingface.co/AvelonLabs/OpenClaude-1.7B-Merged
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.5 GB
Updated	2026-07-14
Maintainer	AvelonLabs
Model Type	qwen3
Model Files	2.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the OpenClaude 1.7B Merged 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 OpenClaude 1.7B Merged

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
CORe Pico 4	40K / 3.4 GB	895	2
Qwen3 1.7B	40K / 4 GB	5633291	500
CORe Pico V3	40K / 3.4 GB	720	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0
Atomight V2.5 1.7B	40K / 3.4 GB	1406	1

Note: green Score (e.g. "73.2") means that the model is better than AvelonLabs/OpenClaude-1.7B-Merged.