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S1.1 14B by simplescaling

 »  All LLMs  »  simplescaling  »  S1.1 14B   URL Share it on

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/simplescaling/s1.1-14B 

S1.1 14B Benchmarks

LLME Score: 0.32312
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
S1.1 14B (simplescaling/s1.1-14B)

S1.1 14B Parameters and Internals

LLM NameS1.1 14B
Repository 🤗https://huggingface.co/simplescaling/s1.1-14B 
Model NameQwen2.5-14B-Instruct-20250308_204224
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM59.1 GB
Updated2025-03-18
Maintainersimplescaling
Model Typeqwen2
Instruction-BasedYes
Model Files  4.8 GB: 1-of-12   5.0 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   5.0 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   4.8 GB: 12-of-12   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to S1.1 14B

Best Alternatives
Context / RAM
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Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB53693284
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB4519
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB2964
Qwen2.5 14B YOYO V4986K / 29.7 GB3673
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB3816
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2503
Calcium Opus 14B Elite 1M986K / 29.7 GB8624
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB2634
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1230
Impish QWEN 14B 1M986K / 29.7 GB9615
Note: green Score (e.g. "73.2") means that the model is better than simplescaling/s1.1-14B.

Rank the S1.1 14B Capabilities

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Release v20241227
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