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Llama 3.2 1B OpenTree R1 0.1 by Nexesenex

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Llama 3.2 1B OpenTree R1 0.1 is an open-source language model by Nexesenex. Features: 1b LLM, VRAM: 3GB, Context: 128K, License: llama3.2, Instruction-Based, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2403.19522 Base model:kingnish/reasoning-... Base model:prithivmlmods/bella... Base model:zztheaven/llama-3.2...   Conversational   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1 

Llama 3.2 1b OpenTree R1 0.1 Benchmarks

LLME Score: 0.20538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 1B OpenTree R1 0.1 (Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1)
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Llama 3.2 1B OpenTree R1 0.1 Parameters and Internals

LLM NameLlama 3.2 1b OpenTree R1 0.1
Repository 🤗https://huggingface.co/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1 
Base Model(s)  KingNish/Reasoning-Llama-1b-v0.1   zztheaven/Llama-3.2-1B-Instruct-Open-R1-GRPO   Bellatrix Tiny 1B R1   KingNish/Reasoning-Llama-1b-v0.1   zztheaven/Llama-3.2-1B-Instruct-Open-R1-GRPO   prithivMLmods/Bellatrix-Tiny-1B-R1
Merged ModelYes
Model Size1b
Required VRAM3 GB
Updated2026-07-07
MaintainerNexesenex
Model Typellama
Instruction-BasedYes
Model Files  3.0 GB: 1-of-1
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1.

Rank the Llama 3.2 1B OpenTree R1 0.1 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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