What are the hardware requirements for SLM CadCamCfd Expert 1.5B?

SLM CadCamCfd Expert 1.5B requires approximately 0.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SLM CadCamCfd Expert 1.5B and how large is it?

SLM CadCamCfd Expert 1.5B is developed by BRR1154, a model with 1.5b 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 SLM CadCamCfd Expert 1.5B?

SLM CadCamCfd Expert 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SLM CadCamCfd Expert 1.5B by BRR1154 — VRAM 0.6GB, 32K context

Name: SLM CadCamCfd Expert 1.5B
Author: BRR1154

SLM CadCamCfd Expert 1.5B is an open-source language model by BRR1154. Features: 1.5b LLM, VRAM: 0.6GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.33.

Arxiv:2409.12186 Aerospace Automotive Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Blender Cad Cam Cfd Codegen Conversational En Endpoints compatible Engineering Finite-element-analysis G-code Instruct Matlab Navier-stokes Qwen2 Qwen2.5 Region:us

Model Card on HF 🤗: https://huggingface.co/BRR1154/SLM-CadCamCfd-Expert-1.5B

SLM CadCamCfd Expert 1.5B Parameters and Internals

LLM Name	SLM CadCamCfd Expert 1.5B
Repository 🤗	https://huggingface.co/BRR1154/SLM-CadCamCfd-Expert-1.5B
Base Model(s)	Qwen/Qwen2.5-Coder-1.5B-Instruct Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size	1.5b
Required VRAM	0.6 GB
Updated	2026-11-11
Maintainer	BRR1154
Model Type	qwen2
Instruction-Based	Yes
Model Files	0.6 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Vocabulary Size	151936
Torch Data Type	float32

Rank the SLM CadCamCfd Expert 1.5B 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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