H2o Danube2 1.8B Chat MLX 4bit by ucheog

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  Arxiv:2401.16818   4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Gpt   H2o-llmstudio   Mistral   Quantized   Region:us   Safetensors

H2o Danube2 1.8B Chat MLX 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2o Danube2 1.8B Chat MLX 4bit (ucheog/h2o-danube2-1.8b-chat-MLX-4bit)
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H2o Danube2 1.8B Chat MLX 4bit Parameters and Internals

Model Type 
text generation, chatbot
Training Details 
Context Length:
8192
Model Architecture:
Llama 2 adjusted to around 1.8b parameters, using Mistral tokenizer, context length 8192, with 24 layers, each with 32 heads and 8 query groups. n_embd is 2560 with vocab size of 32000.
LLM NameH2o Danube2 1.8B Chat MLX 4bit
Repository ๐Ÿค—https://huggingface.co/ucheog/h2o-danube2-1.8b-chat-MLX-4bit 
Model Size1.8b
Required VRAM1.1 GB
Updated2025-09-21
Maintainerucheog
Model Typemistral
Model Files  1.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ucheog/h2o-danube2-1.8b-chat-MLX-4bit.

Rank the H2o Danube2 1.8B Chat MLX 4bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124