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Thicc Mistral 19B FAIL by athirdpath

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/athirdpath/Thicc-Mistral-19b-FAIL 

Thicc Mistral 19B FAIL Benchmarks

LLME Score: 0.14777
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Thicc Mistral 19B FAIL (athirdpath/Thicc-Mistral-19b-FAIL)

Thicc Mistral 19B FAIL Parameters and Internals

Model Type 
text generation
Additional Notes 
The experimentation aimed to address imbalance by freeing up parameters, but it concluded that smaller models per layer lack the needed redundancy.
Training Details 
Data Sources:
unknown
Methodology:
Imbalance management through altered layer placement and parameter use.
Model Architecture:
Experimental with different layer slices and merges.
LLM NameThicc Mistral 19B FAIL
Repository 🤗https://huggingface.co/athirdpath/Thicc-Mistral-19b-FAIL 
Model Size19b
Required VRAM38.1 GB
Updated2025-02-22
Maintainerathirdpath
Model Typemistral
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   8.2 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Thicc Mistral 19B FAIL

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Note: green Score (e.g. "73.2") means that the model is better than athirdpath/Thicc-Mistral-19b-FAIL.

Rank the Thicc Mistral 19B FAIL 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 v20241227
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