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Megatron Bots 1.7B Reasoning by prithivMLmods

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Megatron Bots 1.7B Reasoning is an open-source language model by prithivMLmods. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:prithivmlm... Base model:prithivmlmods/qwen3...   Code   Conversational   Dataset:minimaxai/synlogic   En   Endpoints compatible   Math   Moe   Qwen3   Region:us   Safetensors   Synlogic
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Megatron-Bots-1.7B-Reasoning 

Megatron Bots 1.7B Reasoning Benchmarks

LLME Score: 0.19306
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Megatron Bots 1.7B Reasoning (prithivMLmods/Megatron-Bots-1.7B-Reasoning)
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Megatron Bots 1.7B Reasoning Parameters and Internals

LLM NameMegatron Bots 1.7B Reasoning
Repository 🤗https://huggingface.co/prithivMLmods/Megatron-Bots-1.7B-Reasoning 
Base Model(s)  prithivMLmods/Qwen3-1.7B-ft-bf16   prithivMLmods/Qwen3-1.7B-ft-bf16
Model Size1.7b
Required VRAM3.4 GB
Updated2026-05-15
MaintainerprithivMLmods
Model Typeqwen3
Model Files  3.4 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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...up Qwen3 1.7B Datav3 Only Mask40K / 4.1 GB22560
...3 1.7B Datav3 Only Mask W Item40K / 4.1 GB15540
Qwen3 1.7B Fft Math40K / 4.1 GB8040
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Megatron-Bots-1.7B-Reasoning.

Rank the Megatron Bots 1.7B Reasoning 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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