What are the hardware requirements for Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2?

Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 requires approximately 5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 and how large is it?

Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 is developed by Zoyd, a model with 8b 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 Openchat 3.6 8B 20240522 4 0bpw EXL2?

Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 by Zoyd — VRAM 5GB, 8K context

Name: Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2
Author: Zoyd

Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 is an open-source language model by Zoyd. Features: 8b LLM, VRAM: 5GB, Context: 8K, License: llama3, Quantized, LLM Explorer Score: 0.12.

Arxiv:2309.11235 4-bit Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... C-rlft Conversational Endpoints compatible Exl2 Llama Llama3 Openchat Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-4_0bpw_exl2

Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 Parameters and Internals

Model Type

text-generation

Additional Notes

OpenChat may generate information that does not exist or is inaccurate, also known as "hallucination." Users should verify critical information.

Input Output

Input Format:

GPT4 Correct Assistant:

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Set <|end_of_turn|> as end of generation token.

Release Notes

Version:

3.6

Date:

20240522

Notes:

Best performing open-source 8B model. Outperforms Llama-3-8B-Instruct.

LLM Name	Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2
Repository 🤗	https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-4_0bpw_exl2
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	5 GB
Updated	2025-09-23
Maintainer	Zoyd
Model Type	llama
Model Files	5.0 GB
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Openchat Openchat 3.6 8B 20240522 4 0bpw EXL2 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 Openchat 3.6 8B 20240522 4 0bpw EXL2

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than Zoyd/openchat_openchat-3.6-8b-20240522-4_0bpw_exl2.