What are the hardware requirements for NexusRaven 13B AWQ?

NexusRaven 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 13B AWQ and how large is it?

NexusRaven 13B AWQ is developed by TheBloke, a model with 13b 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 NexusRaven 13B AWQ?

NexusRaven 13B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

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

Name: NexusRaven 13B AWQ
Author: TheBloke

NexusRaven 13B AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

Arxiv:2308.12950 4-bit Awq Base model:nexusflow/nexusrave... Base model:quantized:nexusflow... Codegen Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/NexusRaven-13B-AWQ

NexusRaven 13B AWQ Parameters and Internals

Model Type

llama

Use Cases

Limitations:

We highly recommend using a stop criteria of ['\nReflection:']. The model was trained to first generate an answer and then reflect on its answer to either improve the answer or keep the answer the same., The model works best when it is connected with a retriever when there are a multitude of functions, as a large number of functions will saturate the context window., The model can be prone to generate incorrect calls. Please ensure proper guardrails to capture errant behavior is in place.

LLM Name	NexusRaven 13B AWQ
Repository 🤗	https://huggingface.co/TheBloke/NexusRaven-13B-AWQ
Model Name	Nexusraven 13B
Model Creator	Nexusflow
Base Model(s)	NexusRaven 13B Nexusflow/NexusRaven-13B
Model Size	13b
Required VRAM	7.2 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	7.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.33.2
Tokenizer Class	CodeLlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32024
Torch Data Type	bfloat16

Rank the NexusRaven 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

Best Alternatives to NexusRaven 13B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 13B Instruct AWQ	16K / 7.2 GB	261	9
...ma 13B Instruct Hf W4 G128 AWQ	16K / 7.2 GB	10	0
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
...13B Instruct Nf4 Fp16 Upscaled	16K / 26 GB	6	0
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Instruct Hf	16K / 26 GB	369	29
TableLLM 13B	16K / 26 GB	98	34

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/NexusRaven-13B-AWQ.