What are the hardware requirements for Wavecoder Ultra 1.1 6.7B AWQ?

Wavecoder Ultra 1.1 6.7B AWQ requires approximately 3.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Wavecoder Ultra 1.1 6.7B AWQ and how large is it?

Wavecoder Ultra 1.1 6.7B AWQ is developed by bartowski, a model with 6.7b 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 Wavecoder Ultra 1.1 6.7B AWQ?

Wavecoder Ultra 1.1 6.7B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Wavecoder Ultra 1.1 6.7B AWQ by bartowski — VRAM 3.9GB, 16K context

Name: Wavecoder Ultra 1.1 6.7B AWQ
Author: bartowski

Wavecoder Ultra 1.1 6.7B AWQ is an open-source language model by bartowski. Features: 6.7b LLM, VRAM: 3.9GB, Context: 16K, License: mit, Quantized, LLM Explorer Score: 0.12.

4-bit Awq Code Dataset:humaneval En Endpoints compatible Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-AWQ

Wavecoder Ultra 1.1 6.7B AWQ Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Applications:

text generation, code generation

Primary Use Cases:

Text and code generation using wavecoder-ultra model family

Supported Languages

en (unknown)

Input Output

Input Format:

<|begin of sentence|>[INST] <> {system_prompt} <> {prompt} [/INST] <|end of sentence|>

Accepted Modalities:

text

Output Format:

text

LLM Name	Wavecoder Ultra 1.1 6.7B AWQ
Repository 🤗	https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-AWQ
Model Size	6.7b
Required VRAM	3.9 GB
Updated	2026-08-02
Maintainer	bartowski
Model Type	llama
Model Files	3.9 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32023
Torch Data Type	float16

Rank the Wavecoder Ultra 1.1 6.7B 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 Wavecoder Ultra 1.1 6.7B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...epseek Coder 6.7B Instruct AWQ	16K / 3.9 GB	291702	19
Deepseek Coder 6.7B Base AWQ	16K / 3.9 GB	16513	10
Wavecoder Ultra 1.1 6.7B AWQ	16K / 3.9 GB	6	0
Magicoder S DS 6.7B AWQ	16K / 3.9 GB	8	9
Deepseek Coder 6.7B Base AWQ	16K / 3.9 GB	0	0
Law Chat AWQ	4K / 3.9 GB	7	4
Finance Chat AWQ	4K / 3.9 GB	7	3
Medicine Chat AWQ	4K / 3.9 GB	3	3
AdaptLLM Finance Chat AWQ	4K / 3.9 GB	0	1
Gorilla Openfunctions V1 AWQ	4K / 3.9 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than bartowski/wavecoder-ultra-1.1-6.7b-AWQ.