Reflect Mini8Bit Om2 460K Sft T1 by RyanYr

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/ministral...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Reflect Mini8Bit Om2 460k Sft T1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reflect Mini8Bit Om2 460K Sft T1 (RyanYr/reflect_mini8Bit_om2-460k_sft-t1)

Reflect Mini8Bit Om2 460K Sft T1 Parameters and Internals

LLM NameReflect Mini8Bit Om2 460k Sft T1
Repository ๐Ÿค—https://huggingface.co/RyanYr/reflect_mini8Bit_om2-460k_sft-t1 
Model Namereflect_mini8Bit_om2-460k_sft-t1
Base Model(s)  Ministral 8B Instruct 2410   mistralai/Ministral-8B-Instruct-2410
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
MaintainerRyanYr
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size131073
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RyanYr/reflect_mini8Bit_om2-460k_sft-t1.

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