What are the hardware requirements for CausalLM 14B GPTQ?

CausalLM 14B GPTQ requires approximately 9.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CausalLM 14B GPTQ and how large is it?

CausalLM 14B GPTQ is developed by TheBloke, a model with 14b 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 CausalLM 14B GPTQ?

CausalLM 14B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CausalLM 14B GPTQ by TheBloke — VRAM 9.7GB, 8K context

Name: CausalLM 14B GPTQ
Author: TheBloke

CausalLM 14B GPTQ is an open-source language model by TheBloke. Features: 14b LLM, VRAM: 9.7GB, Context: 8K, License: wtfpl, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

4-bit Base model:causallm/14b Base model:quantized:causallm/... Dataset:baai/coig Dataset:fnlp/moss-003-sft-data Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-3.... Dataset:josephuscheung/guanaco... Dataset:ldjnr/puffin Dataset:liuhaotian/llava-instr... Dataset:liwu/mnbvc Dataset:meta-math/metamathqa Dataset:milashkaarshif/moegirl... Dataset:open-orca/openorca Dataset:openbmb/llava zh Dataset:ryokoai/fandom23k Dataset:ryokoai/sharegpt52k Dataset:stingning/ultrachat Dataset:teknium/openhermes Dataset:tigerresearch/tigerbot... Dataset:wiki lingua Dataset:wikipedia Dataset:wizardlm/wizardlm evol... En Gptq Instruct Llama Llama2 Quantized Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/TheBloke/CausalLM-14B-GPTQ

CausalLM 14B GPTQ Parameters and Internals

LLM Name	CausalLM 14B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/CausalLM-14B-GPTQ
Model Name	CausalLM 14B
Model Creator	CausalLM
Base Model(s)	14B CausalLM/14B
Model Size	14b
Required VRAM	9.7 GB
Updated	2026-08-02
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	9.7 GB
Supported Languages	en zh
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	wtfpl
Context Length	8192
Model Max Length	8192
Transformers Version	4.34.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	152064
Torch Data Type	float16

Rank the CausalLM 14B GPTQ 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

Best Alternatives to CausalLM 14B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
CausalLM 14B EXL2	8K / 8.5 GB	8	3
...struct 2512 Llamafied TextOnly	256K / 27 GB	9	3
...hocolatine 2 14B Instruct V2.0	16K / 29.4 GB	11	6
...colatine 2 14B Instruct V2.0.1	16K / 29.4 GB	30	1
14B	8K / 28.4 GB	222	313
CausalLM 14B AWQ	8K / 9.7 GB	48	10

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CausalLM-14B-GPTQ.