What are the hardware requirements for Taiwan LLM 8x7B DPO AWQ?

Taiwan LLM 8x7B DPO AWQ requires approximately 24.7 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 Taiwan LLM 8x7B DPO AWQ and how large is it?

Taiwan LLM 8x7B DPO AWQ is developed by yentinglin, a model with 6.5b 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 8x7B DPO AWQ?

Taiwan LLM 8x7B DPO AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Taiwan LLM 8x7B DPO AWQ by yentinglin — VRAM 24.7GB, 32K context

Name: Taiwan LLM 8x7B DPO AWQ
Author: yentinglin

Taiwan LLM 8x7B DPO AWQ is an open-source language model by yentinglin. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, MoE, Quantized, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4-bit Autotrain compatible Awq Conversational Endpoints compatible Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yentinglin/Taiwan-LLM-8x7B-DPO-awq

Taiwan LLM 8x7B DPO AWQ Benchmarks

LLME Score: 0.1261

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Taiwan LLM 8x7B DPO AWQ (yentinglin/Taiwan-LLM-8x7B-DPO-awq)

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Taiwan LLM 8x7B DPO AWQ Parameters and Internals

LLM Name	Taiwan LLM 8x7B DPO AWQ
Repository 🤗	https://huggingface.co/yentinglin/Taiwan-LLM-8x7B-DPO-awq
Model Size	6.5b
Required VRAM	24.7 GB
Updated	2025-04-19
Maintainer	yentinglin
Model Type	mixtral
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 4.7 GB: 5-of-5
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MixtralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	float16

Best Alternatives to Taiwan LLM 8x7B DPO AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...kaLM Mixtral 8x7B V0.2 DPO AWQ	32K / 24.7 GB	6	0
...nstruct V0.1 AQLM 2Bit 1x16 Hf	32K / 13.1 GB	17	19
Mixtral 8x7b AQLM 2Bit 1x16 Hf	32K / 13.1 GB	82	23
...QLM 2Bit 1x16 Hf Test Dispatch	32K / 13.1 GB	101	3
Mixtral Debug	32K / 0 GB	14	0
Mixtral Debug	32K / 0 GB	6	0
...Hermes 2 Mixtral 8x7B DPO GPTQ	32K / 24.7 GB	12	1
...x7B V0.1 OmniQuantv2 W4a16g128	32K / 24.7 GB	7	1
...uct V0.1 OmniQuantv1 W4a16g128	32K / 24.7 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLM-8x7B-DPO-awq.

Rank the Taiwan LLM 8x7B DPO AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Taiwan LLM 8x7B DPO AWQ by yentinglin

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Taiwan LLM 8x7B DPO AWQ Benchmarks

Taiwan LLM 8x7B DPO AWQ Parameters and Internals

Best Alternatives to Taiwan LLM 8x7B DPO AWQ

Rank the Taiwan LLM 8x7B DPO AWQ Capabilities

What open-source LLMs or SLMs are you in search of? 53858 in total.