What are the hardware requirements for CausalLM 7B AWQ?

CausalLM 7B AWQ requires approximately 5.8 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 7B AWQ and how large is it?

CausalLM 7B AWQ 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 AWQ?

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

CausalLM 7B AWQ by TheBloke — VRAM 5.8GB, 8K context

Name: CausalLM 7B AWQ
Author: TheBloke

CausalLM 7B AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 5.8GB, Context: 8K, License: wtfpl, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

4-bit Awq 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 Instruct Llama Llama2 Quantized Qwen Region:us Safetensors Zh

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

CausalLM 7B AWQ Parameters and Internals

LLM Name	CausalLM 7B AWQ
Repository 🤗	https://huggingface.co/TheBloke/CausalLM-7B-AWQ
Model Name	CausalLM 7B
Model Creator	CausalLM
Base Model(s)	7B CausalLM/7B
Model Size	7b
Required VRAM	5.8 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	5.8 GB
Supported Languages	en zh
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	wtfpl
Context Length	8192
Model Max Length	8192
Transformers Version	4.34.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	151936
Torch Data Type	float16

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