What are the hardware requirements for NexusRaven V2 13B AWQ?

NexusRaven V2 13B AWQ requires approximately 7.2 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 NexusRaven V2 13B AWQ and how large is it?

NexusRaven V2 13B AWQ is developed by sAmBiT77, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NexusRaven V2 13B AWQ perform on standard benchmarks?

NexusRaven V2 13B AWQ has the following published scores: MMLU 44.88. Compare against reference models on this page or on the LLM Explorer leaderboards.

NexusRaven V2 13B AWQ by sAmBiT77 — VRAM 7.2GB, 16K context

Name: NexusRaven V2 13B AWQ
Author: sAmBiT77

NexusRaven V2 13B AWQ is an open-source language model by sAmBiT77. Features: 13b LLM, VRAM: 7.2GB, Context: 16K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14, Arc: 45.1, HellaSwag: 67.4, MMLU: 44.9, GSM8K: 20.9.

4-bit Autotrain compatible Awq Dataset:wikitext Endpoints compatible Function calling Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/sAmBiT77/NexusRaven-V2-13B-awq

NexusRaven V2 13B AWQ Parameters and Internals

Model Type

llama

Use Cases

Primary Use Cases:

Function Calling

Additional Notes

The model is the quantized version of NexusFlow's NexusRaven V-2 using Activation-Aware Weight Quantization. It is suitable for high-degree Function Calling, including Simple Functions, Compound Functions, and Nested Functions. The model hasn't been fine-tuned yet.

LLM Name	NexusRaven V2 13B AWQ
Repository 🤗	https://huggingface.co/sAmBiT77/NexusRaven-V2-13B-awq
Model Name	NexusRaven V2 13B
Model Creator	Nexusflow
Base Model(s)	NexusRaven V2 13B Nexusflow/NexusRaven-V2-13B
Model Size	13b
Required VRAM	7.2 GB
Updated	2024-12-18
Maintainer	sAmBiT77
Model Type	llama
Model Files	7.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.2
Tokenizer Class	CodeLlamaTokenizer
Padding Token	</s>
Vocabulary Size	32024
Torch Data Type	float16

Rank the NexusRaven V2 13B 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

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