What are the hardware requirements for OpenCrystal 12B L3.1 128K?

OpenCrystal 12B L3.1 128K requires approximately 23 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenCrystal 12B L3.1 128K and how large is it?

OpenCrystal 12B L3.1 128K is developed by Darkknight535, a model with 12b 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 OpenCrystal 12B L3.1 128K?

OpenCrystal 12B L3.1 128K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenCrystal 12B L3.1 128K by Darkknight535 — VRAM 23GB, 128K context

Name: OpenCrystal 12B L3.1 128K
Author: Darkknight535

OpenCrystal 12B L3.1 128K is an open-source language model by Darkknight535. Features: 12b LLM, VRAM: 23GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.14.

Merged Model Autotrain compatible Conversational Endpoints compatible Instruct Llama Not-for-all-audiences Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Darkknight535/OpenCrystal-12B-L3.1-128K

OpenCrystal 12B L3.1 128K Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, experimentation

Primary Use Cases:

storytelling, text generation with character personalities

Limitations:

may sometimes generate inappropriate content, some models have limited proficiency

Considerations:

Not tested extensively, user feedback is advised.

Additional Notes

This is an experimental merge of pre-trained language models with specific creative features.

Input Output

Input Format:

Predefined context and instruct templates available.

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

To enhance model performance, choose the suitable sampling parameters and templates.

LLM Name	OpenCrystal 12B L3.1 128K
Repository 🤗	https://huggingface.co/Darkknight535/OpenCrystal-12B-L3.1-128K
Merged Model	Yes
Model Size	12b
Required VRAM	23 GB
Updated	2025-09-23
Maintainer	Darkknight535
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 3.2 GB: 5-of-5
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the OpenCrystal 12B L3.1 128K 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 OpenCrystal 12B L3.1 128K

Best Alternatives	Context / RAM	Downloads	Likes
OpenCrystal 12B L3	8K / 23 GB	17	17
Meta Llama 3 12B Instruct AWQ	8K / 7.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Darkknight535/OpenCrystal-12B-L3.1-128K.