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Slerp CM Mist DPO by abacusai

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abacusai/Slerp-CM-mist-dpo 

Slerp CM Mist DPO Benchmarks

ARC: 69.62 vs 96.7 (so35)-28%
HellaSwag: 87.09 vs 95.3 (gpt4)-8.6%
MMLU: 64.81 vs 88.3 (so35)-26.6%
TruthfulQA: 62.82 vs 59 (gpt4)6.5%
WinoGrande: 81.45 vs 87.5 (gpt4)-6.9%
GSM8K: 72.78 vs 96.4 (so35)-24.5%
LLME Score: 0.20095
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slerp CM Mist DPO (abacusai/Slerp-CM-mist-dpo)

Slerp CM Mist DPO Parameters and Internals

Model Type 
merge
Use Cases 
Primary Use Cases:
research, experiments
Limitations:
not evaluated for safety
Considerations:
The model has not been evaluated for safety and is only intended for research and experiments.
Training Details 
Methodology:
slerp
LLM NameSlerp CM Mist DPO
Repository 🤗https://huggingface.co/abacusai/Slerp-CM-mist-dpo 
Merged ModelYes
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-05
Maintainerabacusai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than abacusai/Slerp-CM-mist-dpo.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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