What are the hardware requirements for H2o Danube 1.8B Chat Sft Merge Fourier V1?

H2o Danube 1.8B Chat Sft Merge Fourier V1 requires approximately 7.3 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed H2o Danube 1.8B Chat Sft Merge Fourier V1 and how large is it?

H2o Danube 1.8B Chat Sft Merge Fourier V1 is developed by NickyNicky, a model with 1.8b 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 H2o Danube 1.8B Chat Sft Merge Fourier V1?

H2o Danube 1.8B Chat Sft Merge Fourier V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

H2o Danube 1.8B Chat Sft Merge Fourier V1 by NickyNicky — VRAM 7.3GB, 16K context

Name: H2o Danube 1.8B Chat Sft Merge Fourier V1
Author: NickyNicky

H2o Danube 1.8B Chat Sft Merge Fourier V1 is an open-source language model by NickyNicky. Features: 1.8b LLM, VRAM: 7.3GB, Context: 16K, License: apache-2.0, Merged, LLM Explorer Score: 0.11.

Merged Model Conversational En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1

H2o Danube 1.8B Chat Sft Merge Fourier V1 Benchmarks

LLME Score: 0.11468

^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)

H2o Danube 1.8B Chat Sft Merge Fourier V1 (NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1)

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H2o Danube 1.8B Chat Sft Merge Fourier V1 Parameters and Internals

Model Type

text generation

LLM Name	H2o Danube 1.8B Chat Sft Merge Fourier V1
Repository 🤗	https://huggingface.co/NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1
Merged Model	Yes
Model Size	1.8b
Required VRAM	7.3 GB
Updated	2026-05-01
Maintainer	NickyNicky
Model Type	mistral
Model Files	5.0 GB: 1-of-2 2.3 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Best Alternatives to H2o Danube 1.8B Chat Sft Merge Fourier V1

Best Alternatives	Context / RAM	Downloads	Likes
H2o Danube 1.8B Chat	16K / 3.7 GB	131	55
H2o Danube 1.8B Base	16K / 3.7 GB	196	43
Cypher Mini 1.8B	16K / 3.7 GB	69	2
H2o Danube 1.8B Sft	16K / 3.7 GB	167	11
PixieZehirNano	16K / 3.7 GB	10	0
Cypher CoT 1.8B	16K / 3.7 GB	6	1
H2o Danube2 1.8B Chat	8K / 3.7 GB	843	62
H2o Danube2 1.8B Base	8K / 3.7 GB	141	47
H2o Danube2 1.8B Sft	8K / 3.7 GB	132	6
Binary Clumsy Bear	8K / 7.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1.

Rank the H2o Danube 1.8B Chat Sft Merge Fourier V1 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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H2o Danube 1.8B Chat Sft Merge Fourier V1 by NickyNicky

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H2o Danube 1.8B Chat Sft Merge Fourier V1 Benchmarks

H2o Danube 1.8B Chat Sft Merge Fourier V1 Parameters and Internals

Best Alternatives to H2o Danube 1.8B Chat Sft Merge Fourier V1

Rank the H2o Danube 1.8B Chat Sft Merge Fourier V1 Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.