Who developed Cookgptlama and how large is it?

Cookgptlama is developed by VishalMysore, a model with 1.1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Cookgptlama perform on standard benchmarks?

Cookgptlama has the following published scores: LMSYS ELO 1443. Compare against reference models on this page or on the LLM Explorer leaderboards.

Cookgptlama by VishalMysore

Name: Cookgptlama
Author: VishalMysore

Cookgptlama is an open-source language model by VishalMysore. Features: 1.1b LLM, LLM Explorer Score: 0.27, ELO: 1443.

Autotrain Conversational Endpoints compatible Llama Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/VishalMysore/cookgptlama

Cookgptlama Benchmarks

LMSys ELO 1443 vs 1272 (so35) 13.4%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Cookgptlama Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

https://huggingface.co/datasets/VishalMysore/cookGPT

Data Volume:

10K+ Indian food recipes

LLM Name	Cookgptlama
Repository 🤗	https://huggingface.co/VishalMysore/cookgptlama
Model Size	1.1b
Required VRAM	0 GB
Updated	2026-08-01
Maintainer	VishalMysore
Model Files	0.0 GB 2.2 GB 0.0 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	2048
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Cookgptlama 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

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