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Typescript Instruct 20K V2 by mhhmm

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  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 Benchmarks

LLME Score: 0.12408
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Typescript Instruct 20K V2 (mhhmm/typescript-instruct-20k-v2)
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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 NameTypescript Instruct 20K V2
Repository 🤗https://huggingface.co/mhhmm/typescript-instruct-20k-v2 
Base Model(s)  CodeLlama 13B Hf   codellama/CodeLlama-13b-hf
Model Size13b
Required VRAM26 GB
Updated2025-09-23
Maintainermhhmm
Instruction-BasedYes
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 Languagesen
Generates CodeYes
Model ArchitectureAdapter
Licensellama2
Is Biasednone
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|gate_proj|up_proj|down_proj|k_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

Quantized Models of the Typescript Instruct 20K V2

Model
Likes
Downloads
VRAM
CodeLlama 13B Fp1666726 GB

Best Alternatives to Typescript Instruct 20K V2

Best Alternatives
Context / RAM
Downloads
Likes
...10 2024 06 23 06 24 24 35586350K / 0.8 GB50
...10 2024 06 22 21 11 23 35586240K / 0.8 GB50
Typescript Instruct 20K V40K / 26 GB52
...lama 13B Instruction Finetune20K / 0 GB61
Note: green Score (e.g. "73.2") means that the model is better than mhhmm/typescript-instruct-20k-v2.

Rank the Typescript Instruct 20K V2 Capabilities

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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  

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Release v20241124
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