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Raccoon Small Float32 by rizla

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Raccoon Small Float32 is an open-source language model by rizla. Features: 19.2b LLM, VRAM: 76.7GB, Context: 32K, License: cc-by-nd-4.0, Quantized, LLM Explorer Score: 0.12.

  Endpoints compatible   Gguf   Merge   Mergekit   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rizla/raccoon-small-float32 

Raccoon Small Float32 Benchmarks

LLME Score: 0.11774
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Raccoon Small Float32 (rizla/raccoon-small-float32)
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Raccoon Small Float32 Parameters and Internals

LLM NameRaccoon Small Float32
Repository 🤗https://huggingface.co/rizla/raccoon-small-float32 
Model Size19.2b
Required VRAM76.7 GB
Updated2026-04-02
Maintainerrizla
Model Typemixtral
Model Files  19.9 GB: 1-of-4   20.0 GB: 2-of-4   19.9 GB: 3-of-4   16.9 GB: 4-of-4   38.4 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMixtralForCausalLM
Licensecc-by-nd-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat32

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Mixtral 11Bx2 MoE 19B4K / 38.4 GB117938
Note: green Score (e.g. "73.2") means that the model is better than rizla/raccoon-small-float32.

Rank the Raccoon Small Float32 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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