What are the hardware requirements for QCammel 13 GGUF?

QCammel 13 GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QCammel 13 GGUF and how large is it?

QCammel 13 GGUF is developed by TheBloke. 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 QCammel 13 GGUF?

QCammel 13 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QCammel 13 GGUF by TheBloke — VRAM 5.4GB

Name: QCammel 13 GGUF
Author: TheBloke

QCammel 13 GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 5.4GB, License: other, Quantized, LLM Explorer Score: 0.09.

Arxiv:2302.13971 Arxiv:2305.12031 Arxiv:2305.14314 Base model:augtoma/qcammel-13 Base model:quantized:augtoma/q... En Gguf Llama Llama2 Pytorch Qcammel-13 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/qCammel-13-GGUF

QCammel 13 GGUF Parameters and Internals

Model Type

llama

Use Cases

Primary Use Cases:

Optimized for academic medical knowledge and instruction-following capabilities

Additional Notes

The model is a fine-tuned version of Llama-2 13B.

Training Details

Data Volume:

15,000 instructions

Methodology:

QLoRA

Model Architecture:

Auto-regressive language model using a decoder-only transformer architecture.

Input Output

Input Format:

Text only

Output Format:

Text only

LLM Name	QCammel 13 GGUF
Repository 🤗	https://huggingface.co/TheBloke/qCammel-13-GGUF
Model Name	qCammel 13
Model Creator	augtoma
Base Model(s)	QCammel 13 augtoma/qCammel-13
Required VRAM	5.4 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	llama
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the QCammel 13 GGUF 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 QCammel 13 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
ComicBot V.2 Gguf	32K / 5 GB	54	0
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Marco O1 GGUF	0K / 3 GB	262	6
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
GOAT Llama3.1 V0.1	0K / 0.2 GB	39	3
Mixtral 8x7B V0.1 GGUF	0K / 15.6 GB	4192	438

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/qCammel-13-GGUF.