What are the hardware requirements for Taiwan LLM 7B V2.0.1 Chat AWQ?

Taiwan LLM 7B V2.0.1 Chat AWQ requires approximately 3.9 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 Taiwan LLM 7B V2.0.1 Chat AWQ and how large is it?

Taiwan LLM 7B V2.0.1 Chat AWQ is developed by yentinglin, 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 Taiwan LLM 7B V2.0.1 Chat AWQ?

Taiwan LLM 7B V2.0.1 Chat AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Taiwan LLM 7B V2.0.1 Chat AWQ by yentinglin — VRAM 3.9GB, 4K context

Name: Taiwan LLM 7B V2.0.1 Chat AWQ
Author: yentinglin

Taiwan LLM 7B V2.0.1 Chat AWQ is an open-source language model by yentinglin. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, Quantized, LLM Explorer Score: 0.1.

4-bit Autotrain compatible Awq Conversational Endpoints compatible Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0.1-chat-awq

Taiwan LLM 7B V2.0.1 Chat AWQ Parameters and Internals

LLM Name	Taiwan LLM 7B V2.0.1 Chat AWQ
Repository 🤗	https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0.1-chat-awq
Base Model(s)	yentinglin/Taiwan-LLM-7B-v2.0.1-chat yentinglin/Taiwan-LLM-7B-v2.0.1-chat
Model Size	7b
Required VRAM	3.9 GB
Updated	2025-03-14
Maintainer	yentinglin
Model Type	llama
Model Files	3.9 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Taiwan LLM 7B V2.0.1 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 Taiwan LLM 7B V2.0.1 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
Calm2 7B Chat AWQ	32K / 4.4 GB	9	1
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

Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLM-7B-v2.0.1-chat-awq.