What are the hardware requirements for CausalLM 7B GGUF?

CausalLM 7B GGUF requires approximately 3.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CausalLM 7B GGUF and how large is it?

CausalLM 7B GGUF is developed by TheBloke, 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 CausalLM 7B GGUF?

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

CausalLM 7B GGUF by TheBloke — VRAM 3.4GB

Name: CausalLM 7B GGUF
Author: TheBloke

CausalLM 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.4GB, License: wtfpl, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Base model:causallm/7b 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 Gguf Instruct Llama Llama2 Quantized Qwen Region:us Zh

Model Card on HF 🤗: https://huggingface.co/TheBloke/CausalLM-7B-GGUF

CausalLM 7B GGUF Parameters and Internals

LLM Name	CausalLM 7B GGUF
Repository 🤗	https://huggingface.co/TheBloke/CausalLM-7B-GGUF
Model Name	CausalLM 7B
Model Creator	CausalLM
Base Model(s)	7B CausalLM/7B
Model Size	7b
Required VRAM	3.4 GB
Updated	2026-07-25
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	3.4 GB 4.2 GB 3.9 GB 3.6 GB 4.5 GB 4.8 GB 4.5 GB 5.4 GB 5.5 GB 5.4 GB 6.3 GB 8.2 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	wtfpl

Rank the CausalLM 7B 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CausalLM-7B-GGUF.