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Enricha 14B A Test by Sorawiz

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:allura-org/tq2.5-14... Base model:eva-unit-01/eva-qwe... Base model:hasnonname/qwen2.5-... Base model:nbeerbower/qwen2.5-... Base model:orion-zhen/meissa-q... Base model:sao10k/14b-qwen2.5-...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sorawiz/Enricha-14B-A-Test 

Enricha 14B A Test Benchmarks

LLME Score: 0.22765
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Enricha 14B A Test (Sorawiz/Enricha-14B-A-Test)

Enricha 14B A Test Parameters and Internals

LLM NameEnricha 14B A Test
Repository 🤗https://huggingface.co/Sorawiz/Enricha-14B-A-Test 
Base Model(s)  nbeerbower/Qwen2.5-Gutenberg-Doppel-14B   Sao10K/14B-Qwen2.5-Freya-x1   Orion-zhen/Meissa-Qwen2.5-14B-Instruct   allura-org/TQ2.5-14B-Aletheia-v1   Hasnonname/Qwen2.5-14B-Kebab-v0   EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2   nbeerbower/Qwen2.5-Gutenberg-Doppel-14B   Sao10K/14B-Qwen2.5-Freya-x1   Orion-zhen/Meissa-Qwen2.5-14B-Instruct   allura-org/TQ2.5-14B-Aletheia-v1   Hasnonname/Qwen2.5-14B-Kebab-v0   EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
Merged ModelYes
Model Size14b
Required VRAM59 GB
Updated2025-02-03
MaintainerSorawiz
Model Typeqwen2
Model Files  3.1 GB: 1-of-13   4.8 GB: 2-of-13   4.9 GB: 3-of-13   5.0 GB: 4-of-13   4.9 GB: 5-of-13   5.0 GB: 6-of-13   4.9 GB: 7-of-13   5.0 GB: 8-of-13   4.9 GB: 9-of-13   5.0 GB: 10-of-13   4.9 GB: 11-of-13   5.0 GB: 12-of-13   1.6 GB: 13-of-13
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
Impish QWEN 14B 1M986K / 29.7 GB16717
Qwen2.5 14B YOYO V4986K / 29.7 GB104
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB234
Etr1o V1.2986K / 29.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than Sorawiz/Enricha-14B-A-Test.

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