What are the hardware requirements for Tengentoppa 11B Instruct AWQ?

Tengentoppa 11B Instruct AWQ requires approximately 6.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tengentoppa 11B Instruct AWQ and how large is it?

Tengentoppa 11B Instruct AWQ is developed by DeL-TaiseiOzaki, a model with 11b 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 Tengentoppa 11B Instruct AWQ?

Tengentoppa 11B Instruct AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tengentoppa 11B Instruct AWQ by DeL-TaiseiOzaki — VRAM 6.8GB, 2K context

Name: Tengentoppa 11B Instruct AWQ
Author: DeL-TaiseiOzaki

Tengentoppa 11B Instruct AWQ is an open-source language model by DeL-TaiseiOzaki. Features: 11b LLM, VRAM: 6.8GB, Context: 2K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit Awq Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DeL-TaiseiOzaki/Tengentoppa-11B-Instruct-awq

Tengentoppa 11B Instruct AWQ Parameters and Internals

LLM Name	Tengentoppa 11B Instruct AWQ
Repository 🤗	https://huggingface.co/DeL-TaiseiOzaki/Tengentoppa-11B-Instruct-awq
Base Model(s)	Tengentoppa 11B Instruct DeL-TaiseiOzaki/Tengentoppa-11B-Instruct
Model Size	11b
Required VRAM	6.8 GB
Updated	2026-08-24
Maintainer	DeL-TaiseiOzaki
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.8 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	T5Tokenizer
Padding Token	<pad>
Vocabulary Size	50816
Torch Data Type	float16

Rank the Tengentoppa 11B Instruct 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 Tengentoppa 11B Instruct AWQ

Best Alternatives	Context / RAM	Downloads	Likes
... 11B V2.5 Instruct FP8 Dynamic	32K / 11.5 GB	33	2
A6.1	1024K / 16.1 GB	130	0
...k PL 11B V3.0 Instruct Heretic	32K / 22.3 GB	149	0
Llama 3 11B Instruct RP GLUED	8K / 22.2 GB	4	3
Llama 3 11B Instruct	8K / 22.1 GB	6	3
Llama 3 Synatra 11B V1	8K / 23 GB	7	12
Llama 3 16B Instruct V0.1	8K / 33.5 GB	17	5
SyntheticMoist 11B V2	4K / 21.4 GB	7	3
Antares 11B V1	4K / 21.4 GB	16	2
MedMitsu Instruct 11B	4K / 21.4 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than DeL-TaiseiOzaki/Tengentoppa-11B-Instruct-awq.