What are the hardware requirements for Cellsense Fim 7B?

Cellsense Fim 7B requires approximately 15.2 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 Cellsense Fim 7B and how large is it?

Cellsense Fim 7B is developed by arun11karthik, a model with 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 Cellsense Fim 7B?

Cellsense Fim 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cellsense Fim 7B by arun11karthik — VRAM 15.2GB, 32K context

Name: Cellsense Fim 7B
Author: arun11karthik

Cellsense Fim 7B is an open-source language model by arun11karthik. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.25.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Cellsense Code Code-completion Codegen Conversational Endpoints compatible Fill-in-the-middle Fim Jupyter Model-index Notebook Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/arun11karthik/cellsense-fim-7b

Cellsense Fim 7B Parameters and Internals

LLM Name	Cellsense Fim 7B
Repository 🤗	https://huggingface.co/arun11karthik/cellsense-fim-7b
Base Model(s)	Qwen/Qwen2.5-Coder-7B Qwen/Qwen2.5-Coder-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-31
Maintainer	arun11karthik
Model Type	qwen2
Model Files	15.2 GB
Supported Languages	code
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Cellsense Fim 7B 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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