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QwenStock 1.7B by hotmailuser

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  Merged Model   Arxiv:2403.19522   Autotrain compatible   Base model:goulue5/merging llm Base model:sakalti/saba1.5-1.5...   Base model:sakalti/saba1.5-pro Base model:youlln/ece-prymmal-... Base model:youlln/ece-prymmal-...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/hotmailuser/QwenStock-1.7B 

QwenStock 1.7B Benchmarks

MMLU Pro: 21.72
GPQA: 5.03
MUSR: 13.95
BBH: 17.74
IFEval: 32.14 vs 88 (so35)-63.5%
MATH Lvl 5: 8.01
LLME Score: 0.32238
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwenStock 1.7B (hotmailuser/QwenStock-1.7B)

QwenStock 1.7B Parameters and Internals

LLM NameQwenStock 1.7B
Repository 🤗https://huggingface.co/hotmailuser/QwenStock-1.7B 
Base Model(s)  ECE PRYMMAL YL 1B SLERP V2   ECE PRYMMAL YL 1B SLERP V1   Sakalti/Saba1.5-Pro   Merging LLM   Sakalti/Saba1.5-1.5B   Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2   Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1   Sakalti/Saba1.5-Pro   goulue5/merging_LLM   Sakalti/Saba1.5-1.5B
Merged ModelYes
Model Size1b
Required VRAM3.5 GB
Updated2025-01-20
Maintainerhotmailuser
Model Typeqwen2
Model Files  3.5 GB: 1-of-1
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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