What are the hardware requirements for Fusion?

Fusion requires approximately 6.2 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 Fusion and how large is it?

Fusion is developed by goulue5, 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 Fusion?

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

Fusion by goulue5 — VRAM 6.2GB, 128K context

Name: Fusion
Author: goulue5

Fusion is an open-source language model by goulue5. Features: 1.5b LLM, VRAM: 6.2GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/goulue5/fusion

Fusion Benchmarks

LLME Score: 0.16357

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Fusion Parameters and Internals

LLM Name	Fusion
Repository 🤗	https://huggingface.co/goulue5/fusion
Merged Model	Yes
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2025-01-24
Maintainer	goulue5
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Best Alternatives to Fusion

Best Alternatives	Context / RAM	Downloads	Likes
ReaderLM V2	500K / 3.1 GB	289293	786
Reader Lm 1.5B	250K / 3.1 GB	602	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	593227	1507
VibeThinker 1.5B	128K / 3.5 GB	2319	521
Ko R1 1.5B Preview	128K / 7.1 GB	15	9
Qwen2.5 1.5B	128K / 3.1 GB	869756	176
Qwen2 1.5B	128K / 3.1 GB	133262	102
Polyalign Qwen2.5 1.5B En Sft	128K / 6.2 GB	40	0
...n Research Reasoning Qwen 1.5B	128K / 7.1 GB	5259	241
DeepScaleR 1.5B Preview	128K / 7.1 GB	7129	583

Note: green Score (e.g. "73.2") means that the model is better than goulue5/fusion.

Rank the Fusion Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Fusion by goulue5

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Fusion Benchmarks

Fusion Parameters and Internals

Best Alternatives to Fusion

Rank the Fusion Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.