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DeepScaleR 1.5B Preview by agentica-org

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DeepScaleR 1.5B Preview is an open-source language model by agentica-org. Features: 1.5b LLM, VRAM: 7.1GB, Context: 128K, License: mit, LLM Explorer Score: 0.25.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Dataset:ai-mo/numinamath-cot Dataset:hendrycks/competition ...   Dataset:kbsdjames/omni-math Dataset:ruc-aibox/still-3-prev...   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview 

DeepScaleR 1.5B Preview Benchmarks

LLME Score: 0.24866
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepScaleR 1.5B Preview (agentica-org/DeepScaleR-1.5B-Preview)
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DeepScaleR 1.5B Preview Parameters and Internals

LLM NameDeepScaleR 1.5B Preview
Repository 🤗https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview 
Base Model(s)  deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B   deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size1.5b
Required VRAM7.1 GB
Updated2026-06-02
Maintaineragentica-org
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   2.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151936
Torch Data Typefloat32

Quantized Models of the DeepScaleR 1.5B Preview

Model
Likes
Downloads
VRAM
Mini Cogito R15113 GB

Best Alternatives to DeepScaleR 1.5B Preview

Best Alternatives
Context / RAM
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ReaderLM V2500K / 3.1 GB371893792
Reader Lm 1.5B250K / 3.1 GB602608
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB8379591516
Ko R1 1.5B Preview128K / 7.1 GB119
VibeThinker 1.5B128K / 3.5 GB1245522
Qwen2.5 1.5B128K / 3.1 GB869756176
Qwen2 1.5B128K / 3.1 GB133531102
Polyalign Qwen2.5 1.5B En Sft128K / 6.2 GB400
...n Research Reasoning Qwen 1.5B128K / 7.1 GB5259241
OpenReasoning Nemotron 1.5B128K / 3.1 GB616656
Note: green Score (e.g. "73.2") means that the model is better than agentica-org/DeepScaleR-1.5B-Preview.

Rank the DeepScaleR 1.5B Preview Capabilities

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