What are the hardware requirements for Typescript Instruct 20K V2?

Typescript Instruct 20K V2 requires approximately 26 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Typescript Instruct 20K V2 and how large is it?

Typescript Instruct 20K V2 is developed by mhhmm, 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 Typescript Instruct 20K V2?

Typescript Instruct 20K V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Typescript Instruct 20K V2 by mhhmm — VRAM 26GB

Name: Typescript Instruct 20K V2
Author: mhhmm

Typescript Instruct 20K V2 is an open-source language model by mhhmm. Features: 13b LLM, VRAM: 26GB, License: llama2, Instruction-Based, Code Generating, LLM Explorer Score: 0.1.

Adapter Base model:adapter:codellama/c... Base model:codellama/codellama... Code-generation Codegen Dataset:mhhmm/typescript-instr... En Finetuned Instruct Llama Lora Peft Pytorch Region:us Sharded Tensorboard Typescript

Model Card on HF 🤗: https://huggingface.co/mhhmm/typescript-instruct-20k-v2

Typescript Instruct 20K V2 Parameters and Internals

Model Type

code-generation, instruction-tuning, text-generation

Additional Notes

Evaluation was conducted on Google Colab using A100 40GB GPU. Mengqu's framework was used for evaluation.

Supported Languages

en (Proficient)

Training Details

Data Sources:

mhhmm/typescript-instruct-20k

Methodology:

Fine-tuning with LoRA

Hardware Used:

Multi-GPU setup with 2 devices

LLM Name	Typescript Instruct 20K V2
Repository 🤗	https://huggingface.co/mhhmm/typescript-instruct-20k-v2
Base Model(s)	CodeLlama 13B Hf codellama/CodeLlama-13b-hf
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-25
Maintainer	mhhmm
Instruction-Based	Yes
Model Files	0.1 GB 5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 1.2 GB: 6-of-6
Supported Languages	en
Generates Code	Yes
Model Architecture	Adapter
License	llama2
Is Biased	none
Tokenizer Class	CodeLlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|o_proj\|gate_proj\|up_proj\|down_proj\|k_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Typescript Instruct 20K V2 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

Quantized Models of the Typescript Instruct 20K V2

Model	Likes	Downloads	VRAM
CodeLlama 13B Fp16	67	9	26 GB

Best Alternatives to Typescript Instruct 20K V2

Best Alternatives	Context / RAM	Downloads	Likes
...10 2024 06 23 06 24 24 3558635	0K / 0.8 GB	5	0
...10 2024 06 22 21 11 23 3558624	0K / 0.8 GB	5	0
Typescript Instruct 20K V4	0K / 26 GB	67	2
...lama 13B Instruction Finetune2	0K / 0 GB	10	1

Note: green Score (e.g. "73.2") means that the model is better than mhhmm/typescript-instruct-20k-v2.