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Rizla 17 by rizla

 »  All LLMs  »  rizla  »  Rizla 17   URL Share it on

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Dpo   Endpoints compatible   Instruct   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rizla/rizla-17 

Rizla 17 Benchmarks

ARC: 73.63 vs 96.7 (so35)-23.9%
HellaSwag: 89.72 vs 95.3 (gpt4)-5.9%
MMLU: 64.4 vs 88.3 (so35)-27.1%
TruthfulQA: 76.93 vs 59 (gpt4)30.4%
WinoGrande: 87.85 vs 87.5 (gpt4)0.4%
GSM8K: 61.49 vs 96.4 (so35)-36.2%
LLME Score: 0.14427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rizla 17 (rizla/rizla-17)
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Rizla 17 Parameters and Internals

Model Type 
language model
Additional Notes 
This is an experimental merged model.
LLM NameRizla 17
Repository 🤗https://huggingface.co/rizla/rizla-17 
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Model Size15.6b
Required VRAM31.2 GB
Updated2025-08-19
Maintainerrizla
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   1.3 GB: 4-of-4
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-nd-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Rizla 17

Model
Likes
Downloads
VRAM
Trrapi 16B2737 GB

Rank the Rizla 17 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
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