What are the hardware requirements for QCammel 13 GPTQ?

QCammel 13 GPTQ requires approximately 7.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QCammel 13 GPTQ and how large is it?

QCammel 13 GPTQ is developed by TheBloke, a model with 13b 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 QCammel 13 GPTQ?

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

QCammel 13 GPTQ by TheBloke — VRAM 7.3GB, 4K context

Name: QCammel 13 GPTQ
Author: TheBloke

QCammel 13 GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.08.

Arxiv:2302.13971 Arxiv:2305.12031 Arxiv:2305.14314 4-bit Base model:augtoma/qcammel-13 Base model:quantized:augtoma/q... En Gptq Llama Llama2 Pytorch Qcammel-13 Quantized Region:us Safetensors

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

QCammel 13 GPTQ Parameters and Internals

Model Type

text-generation

Use Cases

Primary Use Cases:

optimized for academic medical knowledge and instruction-following capabilities.

Training Details

Data Sources:

a distilled dataset of 15,000 instructions

Methodology:

QLoRA

Model Architecture:

Llama 2 architecture, an auto-regressive language model that uses a decoder only transformer architecture.

LLM Name	QCammel 13 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/qCammel-13-GPTQ
Model Name	qCammel 13
Model Creator	augtoma
Base Model(s)	QCammel 13 augtoma/qCammel-13
Model Size	13b
Required VRAM	7.3 GB
Updated	2026-07-17
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the QCammel 13 GPTQ 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 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K GPTQ	128K / 7.3 GB	30	16
LongAlign 13B 64K GPTQ	64K / 7.3 GB	5	1
...boros L2 13B 2 1 YaRN 64K GPTQ	64K / 7.3 GB	6	3
Yarn Llama 2 13B 64K GPTQ	64K / 7.3 GB	20	1
OrcaMaid V3 13B 32K GPTQ	32K / 7.3 GB	13	3
OrcaMaid V2 FIX 13B 32K GPTQ	32K / 7.3 GB	12	4
EverythingLM 13B 16K GPTQ	16K / 7.3 GB	70	14
LlongOrca 13B 16K GPT	16K / 7.3 GB	5	0
Tinybra 13B GPTQ 32g 4BIT	16K / 8 GB	3	1
Tinybra 13B GPTQ 4BIT	16K / 7 GB	5	0

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