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Coder1.8 ORPO TEST by raincandy-u

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  Autotrain compatible   Code   Conversational Dataset:reciprocate/dpo ultra-...   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors

Coder1.8 ORPO TEST Benchmarks

ARC: 38.82 vs 96.7 (so35)-59.9%
HellaSwag: 60.48 vs 95.3 (gpt4)-36.5%
MMLU: 46.7 vs 88.3 (so35)-47.1%
TruthfulQA: 41.38 vs 59 (gpt4)-29.9%
WinoGrande: 59.75 vs 87.5 (gpt4)-31.7%
GSM8K: 27.45 vs 96.4 (so35)-71.5%
LLME Score: 0.24615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Coder1.8 ORPO TEST Parameters and Internals

LLM NameCoder1.8 ORPO TEST
Repository 🤗https://huggingface.co/raincandy-u/Coder1.8-ORPO-TEST 
Model Size1.8b
Required VRAM3.7 GB
Updated2024-09-07
Maintainerraincandy-u
Model Typeqwen2
Model Files  3.7 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Coder1.8 ORPO TEST (raincandy-u/Coder1.8-ORPO-TEST)

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Note: green Score (e.g. "73.2") means that the model is better than raincandy-u/Coder1.8-ORPO-TEST.

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Release v2024072803
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