What are the hardware requirements for Damysus Coder V0.1?

Damysus Coder V0.1 requires approximately 14.4 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 Damysus Coder V0.1 and how large is it?

Damysus Coder V0.1 is developed by prince-canuma, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Damysus Coder V0.1 perform on standard benchmarks?

Damysus Coder V0.1 has the following published scores: MMLU 60.54. Compare against reference models on this page or on the LLM Explorer leaderboards.

Damysus Coder V0.1 by prince-canuma — VRAM 14.4GB, 32K context

Name: Damysus Coder V0.1
Author: prince-canuma

Damysus Coder V0.1 is an open-source language model by prince-canuma. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.13, Arc: 60.9, HellaSwag: 84, MMLU: 60.5, GSM8K: 39.3.

4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... Codegen Conversational En Endpoints compatible Instruct Mistral Pytorch Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/prince-canuma/Damysus-Coder-v0.1

Damysus Coder V0.1 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, trl

Additional Notes

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Damysus Coder V0.1
Repository 🤗	https://huggingface.co/prince-canuma/Damysus-Coder-v0.1
Base Model(s)	unsloth/mistral-7b-instruct-v0.2-bnb-4bit unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-02
Maintainer	prince-canuma
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Damysus Coder V0.1 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 Damysus Coder V0.1

Best Alternatives	Context / RAM	Downloads	Likes
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
Lexi Coder V5.1	32K / 14.5 GB	197	0
Mistral 7B Merged	32K / 14.5 GB	6	0
Jett W26 Abliterated	32K / 14.4 GB	8	1
Ultra Llm Merged	32K / 14.5 GB	7	0
...Mistral 7B Instruct V0.2 Slerp	32K / 14.5 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than prince-canuma/Damysus-Coder-v0.1.