Ppo Zephyr Vllm 2e 6 Kl 0.03 Num Mini Batches 1 by vwxyzjn

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  Autotrain compatible Base model:alignment-handbook/... Base model:finetune:alignment-...   Conversational   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow

Ppo Zephyr Vllm 2e 6 Kl 0.03 Num Mini Batches 1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ppo Zephyr Vllm 2e 6 Kl 0.03 Num Mini Batches 1 (vwxyzjn/ppo_zephyr_vllm_2e-6_kl_0.03_num_mini_batches_1)

Ppo Zephyr Vllm 2e 6 Kl 0.03 Num Mini Batches 1 Parameters and Internals

Additional Notes 
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on an unknown dataset. Hyperparameters include a learning rate of 2e-06 with an Adam optimizer.
Training Details 
Hardware Used:
multi-GPU
LLM NamePpo Zephyr Vllm 2e 6 Kl 0.03 Num Mini Batches 1
Repository ๐Ÿค—https://huggingface.co/vwxyzjn/ppo_zephyr_vllm_2e-6_kl_0.03_num_mini_batches_1 
Base Model(s)  Zephyr 7B Sft Full   alignment-handbook/zephyr-7b-sft-full
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainervwxyzjn
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typebfloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227