What are the hardware requirements for Openchat 3.5 16K AWQ?

Openchat 3.5 16K AWQ requires approximately 4.2 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 Openchat 3.5 16K AWQ and how large is it?

Openchat 3.5 16K AWQ is developed by NurtureAI, a model with 1.2b 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 Openchat 3.5 16K AWQ?

Openchat 3.5 16K AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openchat 3.5 16K AWQ by NurtureAI — VRAM 4.2GB, 32K context

Name: Openchat 3.5 16K AWQ
Author: NurtureAI

Openchat 3.5 16K AWQ is an open-source language model by NurtureAI. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.09.

Arxiv:2212.10560 Arxiv:2303.08774 Arxiv:2309.11235 4-bit Autotrain compatible Awq Endpoints compatible License:apache-2.0 Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/NurtureAI/openchat_3.5-16k-awq

Openchat 3.5 16K AWQ Parameters and Internals

LLM Name	Openchat 3.5 16K AWQ
Repository 🤗	https://huggingface.co/NurtureAI/openchat_3.5-16k-awq
Model Size	1.2b
Required VRAM	4.2 GB
Updated	2024-07-15
Maintainer	NurtureAI
Model Type	mistral
Model Files	4.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	float16

Rank the Openchat 3.5 16K 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 Openchat 3.5 16K AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Quantized Kheopss AWQ 4bits V1	32K / 4.2 GB	17	0
MistralLite AWQ	32K / 4.2 GB	42	3
SFR Embedding Mistral AWQ	32K / 4.2 GB	16	0
Yugo55A GPT AWQ	32K / 4.2 GB	6	0
Openchat 3.5 0106 AWQ	8K / 4.2 GB	3	1
Hare1.0 Beta	32K / 2.4 GB	50	1
Mistralmawq	32K / 4.2 GB	14	0
... Finetune 16bit Ver9 Main GPTQ	32K / 4.2 GB	6	0
Turdus GPTQ	32K / 4.2 GB	8	5

Note: green Score (e.g. "73.2") means that the model is better than NurtureAI/openchat_3.5-16k-awq.