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DeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner by akhauriyash

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DeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner is an open-source language model by akhauriyash. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, LLM Explorer Score: 0.19.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Conversational Dataset:akhauriyash/openr1 mat...   Endpoints compatible   Generated from trainer   Open-r1   Qwen2   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/akhauriyash/DeepSeek-R1-Distill-Qwen-1.5B-SpeculativeReasoner 

DeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner Benchmarks

LLME Score: 0.1888
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner (akhauriyash/DeepSeek-R1-Distill-Qwen-1.5B-SpeculativeReasoner)
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DeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner
Repository 🤗https://huggingface.co/akhauriyash/DeepSeek-R1-Distill-Qwen-1.5B-SpeculativeReasoner 
Model NameDeepSeek-R1-Distill-Qwen-1.5B-SpeculativeReasoner
Base Model(s)  deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B   deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size1.5b
Required VRAM3.5 GB
Updated2026-04-22
Maintainerakhauriyash
Model Typeqwen2
Model Files  3.5 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151665
Torch Data Typebfloat16

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Polyalign Qwen2.5 1.5B En Sft128K / 6.2 GB400
Qwen2 1.5B128K / 3.1 GB129109102
OpenReasoning Nemotron 1.5B128K / 3.1 GB793456
1.5B Cold Start SFT128K / 3.5 GB32660
Note: green Score (e.g. "73.2") means that the model is better than akhauriyash/DeepSeek-R1-Distill-Qwen-1.5B-SpeculativeReasoner.

Rank the DeepSeek R1 Distill Qwen 1.5B SpeculativeReasoner Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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