Mistral Small Gutenberg Doppel 22B by nbeerbower

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Conversational Dataset:jondurbin/gutenberg-dp... Dataset:nbeerbower/gutenberg2-...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Small Gutenberg Doppel 22B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Small Gutenberg Doppel 22B (nbeerbower/Mistral-Small-Gutenberg-Doppel-22B)

Mistral Small Gutenberg Doppel 22B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1, nbeerbower/gutenberg2-dpo
Methodology:
ORPO tuned
Hardware Used:
A40 on RunPod
LLM NameMistral Small Gutenberg Doppel 22B
Repository ๐Ÿค—https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B 
Base Model(s)  Mistral Small Instruct 2409   mistralai/Mistral-Small-Instruct-2409
Model Size22b
Required VRAM44.7 GB
Updated2024-12-21
Maintainernbeerbower
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
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217