What are the hardware requirements for Megatron Bots 1.7B Reasoning?

Megatron Bots 1.7B Reasoning requires approximately 3.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Megatron Bots 1.7B Reasoning and how large is it?

Megatron Bots 1.7B Reasoning is developed by prithivMLmods, a model with 1.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Megatron Bots 1.7B Reasoning?

Megatron Bots 1.7B Reasoning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Megatron Bots 1.7B Reasoning by prithivMLmods — VRAM 3.4GB, 40K context

Name: Megatron Bots 1.7B Reasoning
Author: prithivMLmods

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: 0.18.

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 Parameters and Internals

LLM Name	Megatron 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 Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-25
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Megatron Bots 1.7B Reasoning capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Megatron Bots 1.7B Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0
Atomight V2.5 1.7B	40K / 3.4 GB	1406	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	204	1
... 1.7B Base MED ChatVector 0812	40K / 3.4 GB	49	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	46	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	44	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Megatron-Bots-1.7B-Reasoning.