What are the hardware requirements for Palmer 004?

Palmer 004 requires approximately 2.2 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 Palmer 004 and how large is it?

Palmer 004 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.

Where can I download or evaluate Palmer 004?

Palmer 004 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Palmer 004 by appvoid — VRAM 2.2GB, 32K context

Name: Palmer 004
Author: appvoid

Palmer 004 is an open-source language model by appvoid. Features: 1.1b LLM, VRAM: 2.2GB, Context: 32K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.13.

Merged Model Base model:appvoid/palmer-002-... Base model:appvoid/palmer-003 Base model:raidhon/coven tiny ... Endpoints compatible Gguf Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/appvoid/palmer-004

Palmer 004 Parameters and Internals

Additional Notes

Same as all palmer models, the model is biased to respond to answers without using any specific prompt, feel free to further fine-tune it for your specific use case.

Release Notes

Version:

palmer-004

Date:

June

Notes:

This model has improved overall performance at the expense of small degradation on Winogrande.

LLM Name	Palmer 004
Repository 🤗	https://huggingface.co/appvoid/palmer-004
Base Model(s)	Palmer 002 32K raidhon/coven_tiny_1.1b_32k_orpo_alpha Palmer 003 appvoid/palmer-002-32k raidhon/coven_tiny_1.1b_32k_orpo_alpha appvoid/palmer-003
Merged Model	Yes
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-07-16
Maintainer	appvoid
Model Type	llama
Model Files	2.2 GB 2.2 GB: 1-of-1
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Palmer 004 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 Palmer 004

Best Alternatives	Context / RAM	Downloads	Likes
TinyllamaMix 1.1B	32K / 2.2 GB	102	2
Palmer 004 2406	32K / 2.2 GB	574	0
TinyLlama 1.1B 32K GGUF	32K / 0.5 GB	211	0
Tinyllama Coder Py V13	4K / 0.7 GB	203	0
Tinyllama Coder Py V12	4K / 0.7 GB	184	0
Tinyllama Coder Py 4bit V3	4K / 1.2 GB	32	0
Tinyllama Coder Py 4bit V4	4K / 1.2 GB	17	0
...llama PY CODER 4bit Lora 4k V5	4K / 0.7 GB	24	0
Tinyllama Coder Py 4bit V10	4K / 0.7 GB	65	0
TiamaPY V34	4K / 0.7 GB	120	0

Note: green Score (e.g. "73.2") means that the model is better than appvoid/palmer-004.