What are the hardware requirements for Calm2 7B Chat AWQ?

Calm2 7B Chat AWQ requires approximately 4.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Calm2 7B Chat AWQ and how large is it?

Calm2 7B Chat 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 Calm2 7B Chat AWQ?

Calm2 7B Chat AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Calm2 7B Chat AWQ by TheBloke — VRAM 4.4GB, 32K context

Name: Calm2 7B Chat AWQ
Author: TheBloke

Calm2 7B Chat AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.09.

Arxiv:2302.13971 4-bit Awq Base model:cyberagent/calm2-7b... Base model:quantized:cyberagen... En Ja Japanese Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/calm2-7B-chat-AWQ

Calm2 7B Chat AWQ Parameters and Internals

Model Type

Transformer-based Language Model

Supported Languages

ja (Japanese), en (English)

LLM Name	Calm2 7B Chat AWQ
Repository 🤗	https://huggingface.co/TheBloke/calm2-7B-chat-AWQ
Model Name	Calm2 7B Chat
Model Creator	CyberAgent
Base Model(s)	Calm2 7B Chat cyberagent/calm2-7b-chat
Model Size	7b
Required VRAM	4.4 GB
Updated	2026-07-25
Maintainer	TheBloke
Model Type	llama
Model Files	4.4 GB
Supported Languages	ja en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	65024
Torch Data Type	float16

Rank the Calm2 7B Chat AWQ 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 Calm2 7B Chat AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Smaugv0.1 AWQ	195K / 19.3 GB	9	1
Yarn Llama 2 7B 64K AWQ	64K / 3.9 GB	14	0
Llama 2 7B 32K Instruct AWQ	32K / 3.9 GB	3	2
... SWE Llama 7B Updated 4bit AWQ	16K / 3.9 GB	5	0
Pandalyst 7B V1.2 AWQ	16K / 3.9 GB	6	1
Tora Code 7B V1.0 AWQ	16K / 3.9 GB	5	0
...eechless Tora Code 7B V1.0 AWQ	16K / 3.9 GB	6	1
CodeLlama 7B Instruct AWQ	16K / 3.9 GB	278	4
Pandalyst 7B V1.1 AWQ	16K / 3.9 GB	11	1
CodeLlama 7B AWQ	16K / 3.9 GB	75	6

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/calm2-7B-chat-AWQ.