SeminalRP 22B by gghfez

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Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   En   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/gghfez/SeminalRP-22b 

SeminalRP 22B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeminalRP 22B (gghfez/SeminalRP-22b)

SeminalRP 22B Parameters and Internals

Additional Notes 
Slop removed to some extent.
Training Details 
Methodology:
Finetuned on RP and creative writing and some regular questions generated by Opus at 8192 context. Refusals removed from dataset.
Context Length:
8192
Input Output 
Input Format:
~~[INST] {input} [/INST] {output}~~
LLM NameSeminalRP 22B
Repository ๐Ÿค—https://huggingface.co/gghfez/SeminalRP-22b 
Base Model(s)  Mistral Small Instruct 2409   mistralai/Mistral-Small-Instruct-2409
Model Size22b
Required VRAM44.7 GB
Updated2025-02-22
Maintainergghfez
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.4
Tokenizer ClassLlamaTokenizer
Padding Token[control_748]
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than gghfez/SeminalRP-22b.

Rank the SeminalRP 22B 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