What are the hardware requirements for Palmer 003?

Palmer 003 requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Palmer 003 and how large is it?

Palmer 003 is developed by appvoid, 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 Palmer 003 perform on standard benchmarks?

Palmer 003 has the following published scores: MMLU 25.94, LMSYS ELO 1136. Compare against reference models on this page or on the LLM Explorer leaderboards.

Palmer 003 by appvoid — VRAM 2.2GB, 2K context

Name: Palmer 003
Author: appvoid

Palmer 003 is an open-source language model by appvoid. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27, ELO: 1136, Arc: 34.5, HellaSwag: 59.4, MMLU: 25.9, GSM8K: 1.2.

Conversational Doi:10.57967/hf/1937 En Endpoints compatible Es Fr Gguf Llama Merge Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/appvoid/palmer-003

Palmer 003 Benchmarks

LMSys ELO: 1136 vs 1272 (so35)^-10.7%

ARC: 34.47 vs 96.7 (so35)^-64.4%

HellaSwag: 59.41 vs 95.3 (gpt4)^-37.7%

MMLU: 25.94 vs 88.3 (so35)^-70.6%

GSM8K: 1.21 vs 96.4 (so35)^-98.7%

LLME Score: 0.27082

^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)

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Palmer 003 Parameters and Internals

Model Type

language model, text generation

Additional Notes

palmer-003 is appvoid's latest attempt at creating a small, high-performing general language model. Modeled for efficiency and versatility.

Supported Languages

en (full), es (full), fr (full)

LLM Name	Palmer 003
Repository 🤗	https://huggingface.co/appvoid/palmer-003
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-05-11
Maintainer	appvoid
Model Type	llama
Model Files	2.2 GB 2.2 GB
Supported Languages	en es fr
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Best Alternatives to Palmer 003

Best Alternatives	Context / RAM	Downloads	Likes
TinyllamaMix 1.1B	32K / 2.2 GB	126	2
Palmer 004 2406	32K / 2.2 GB	574	0
Palmer 004	32K / 2.2 GB	21	1
TinyLlama 1.1B 32K GGUF	32K / 0.5 GB	146	0
Tinyllama Coder Py V13	4K / 0.7 GB	639	0
Tinyllama Coder Py 4bit V10	4K / 0.7 GB	371	0
Tinyllama Coder Py 4bit V3	4K / 1.2 GB	78	0
Tinyllama Coder Py V12	4K / 0.7 GB	57	0
Tinyllama Coder Py 4bit V4	4K / 1.2 GB	27	0
...llama PY CODER 4bit Lora 4k V5	4K / 0.7 GB	51	0

Rank the Palmer 003 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Palmer 003 by appvoid

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Palmer 003 Benchmarks

Palmer 003 Parameters and Internals

Best Alternatives to Palmer 003

Rank the Palmer 003 Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.