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All Oj Pair8 Ds Chat Reflct Rmsprop Iter2 by all-oj-gen

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  Alignment-handbook   Autotrain compatible Base model:all-oj-gen/all oj p... Base model:finetune:all-oj-gen...   Conversational Dataset:all-oj-gen/ds chat ref...   Dpo   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/all-oj-gen/all_oj_pair8_ds_chat_reflct_rmsprop_iter2 

All Oj Pair8 Ds Chat Reflct Rmsprop Iter2 Benchmarks

LLME Score: 0.2784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
All Oj Pair8 Ds Chat Reflct Rmsprop Iter2 (all-oj-gen/all_oj_pair8_ds_chat_reflct_rmsprop_iter2)

All Oj Pair8 Ds Chat Reflct Rmsprop Iter2 Parameters and Internals

LLM NameAll Oj Pair8 Ds Chat Reflct Rmsprop Iter2
Repository 🤗https://huggingface.co/all-oj-gen/all_oj_pair8_ds_chat_reflct_rmsprop_iter2 
Base Model(s)  ...8 Ds Chat Reflct Rmsprop Iter1   all-oj-gen/all_oj_pair8_ds_chat_reflct_rmsprop_iter1
Model Size6.9b
Required VRAM13.9 GB
Updated2024-12-12
Maintainerall-oj-gen
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.9 GB: 3-of-3   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.45.0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair8_ds_chat_reflct_rmsprop_iter2.

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