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Qwen2p5 14B Distill Wip by chargoddard

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  Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chargoddard/qwen2p5-14b-distill-wip 

Qwen2p5 14B Distill Wip Benchmarks

LLME Score: 0.24166
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2p5 14B Distill Wip (chargoddard/qwen2p5-14b-distill-wip)

Qwen2p5 14B Distill Wip Parameters and Internals

LLM NameQwen2p5 14B Distill Wip
Repository 🤗https://huggingface.co/chargoddard/qwen2p5-14b-distill-wip 
Model Size14b
Required VRAM29.7 GB
Updated2024-09-26
Maintainerchargoddard
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6   0.0 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Rombos LLM V2.6 Qwen 14B128K / 29.7 GB495747
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...wen2.5 14B Inst BaseMerge TIES128K / 29.7 GB352
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Tsunami 1.0 14B Instruct128K / 29.7 GB4070
Fusion2 14B Instruct128K / 29.7 GB291
Qwen2.6 14B Instruct128K / 29.7 GB251
Qwen Carpmuscle R V0.3128K / 29.7 GB381
Note: green Score (e.g. "73.2") means that the model is better than chargoddard/qwen2p5-14b-distill-wip.

Rank the Qwen2p5 14B Distill Wip Capabilities

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Instruction Following and Task Automation  
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Release v20241217
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