Miqu Limarp 70B DPO Safefile by NobodyExistsOnTheInternet

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  4-bit   Adapter   Axolotl Base model:adapter:nobodyexist... Base model:nobodyexistsonthein...   Bitsandbytes   Dpo   Finetuned   Generated from trainer   Llama   Lora   Peft   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl

Miqu Limarp 70B DPO Safefile Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Miqu Limarp 70B DPO Safefile (NobodyExistsOnTheInternet/miqu-limarp-70b-dpo-safefile)

Miqu Limarp 70B DPO Safefile Parameters and Internals

Model Type 
AutoModelForCausalLM
Additional Notes 
The model was trained using the axolotl library version 0.4.0 with PEFT 0.8.2.dev0, Transformers 4.37.0, Pytorch 2.0.1+cu117, Datasets 2.16.1, and Tokenizers 0.15.0.
Training Details 
Data Sources:
NobodyExistsOnTheInternet/Fixed-FilteredTruthyDPO, NobodyExistsOnTheInternet/ToxicDPOqa, NobodyExistsOnTheInternet/Fixed-Distilabel-intel-orca-dpo-pairs, NobodyExistsOnTheInternet/Fixed-gutenberg-dpo-v0.1
Context Length:
768
Hardware Used:
multi-GPU, 8 devices
LLM NameMiqu Limarp 70B DPO Safefile
Repository ๐Ÿค—https://huggingface.co/NobodyExistsOnTheInternet/miqu-limarp-70b-dpo-safefile 
Base Model(s)  NobodyExistsOnTheInternet/3epoch-miqu-limarp   NobodyExistsOnTheInternet/3epoch-miqu-limarp
Model Size70b
Required VRAM38.4 GB
Updated2024-12-22
MaintainerNobodyExistsOnTheInternet
Model Files  1.9 GB   5.0 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   5.0 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   3.4 GB: 8-of-8   0.0 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|q_proj|gate_proj|down_proj|k_proj|v_proj|up_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than NobodyExistsOnTheInternet/miqu-limarp-70b-dpo-safefile.

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