Instructions to use appvoid/palmer-004-original with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use appvoid/palmer-004-original with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="appvoid/palmer-004-original")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("appvoid/palmer-004-original")
model = AutoModelForCausalLM.from_pretrained("appvoid/palmer-004-original")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use appvoid/palmer-004-original with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "appvoid/palmer-004-original"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "appvoid/palmer-004-original",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/appvoid/palmer-004-original

SGLang

How to use appvoid/palmer-004-original with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "appvoid/palmer-004-original" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "appvoid/palmer-004-original",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "appvoid/palmer-004-original" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "appvoid/palmer-004-original",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use appvoid/palmer-004-original with Docker Model Runner:
```
docker model run hf.co/appvoid/palmer-004-original
```

	
		
	
	
		Introducing palmer-004
	
We are thrilled to unveil palmer-004, the fourth iteration in our esteemed palmer series, designed to push the boundaries of performance and context window capacity. Merging the best of palmer-003 with the expansive capabilities of palmer-002-32k, palmer-004 is a testament to the power of merging similar trained models, think of it as palmer-003 with 32k context with minimal performance degradation.

	
		
Model
MMLU
ARC-C
HellaSwag
PIQA
Winogrande

tinyllama-3t
0.2577
0.3029
0.5935
0.7329
0.5959

palmer-003
0.2523
0.3439
0.6208
0.7524
0.6590

palmer-004
0.2601
0.3456
0.6138
0.7443
0.6511

	
Crafted using the TIES merge method, palmer-004 elevates its predecessor's prowess to a remarkable 32k context window without needing to train on additional data. This model doesn't just aim to match; it surpasses, outperforming the current state-of-the-art coven_tiny_1.1b_32k_orpo_alpha on several benchmarks. As of June 1, 2024, palmer-004 stands as the 2nd best 1b overall model as well as the best 32k 1B model to fine-tune from on Hugging Face, setting a new standard for excellence in the open-source AI community.
If you are using Windows, you can now support me by purchasing a copy of quark, a cool text editor that uses language models. Still in beta but super cool still.

Model	MMLU	ARC-C	HellaSwag	PIQA	Winogrande
tinyllama-3t	0.2577	0.3029	0.5935	0.7329	0.5959
palmer-003	0.2523	0.3439	0.6208	0.7524	0.6590
palmer-004	0.2601	0.3456	0.6138	0.7443	0.6511

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Safetensors

Model size

1B params

Tensor type

F16

Model tree for appvoid/palmer-004-original

appvoid/palmer-002-32k

appvoid/palmer-003

raidhon/coven_tiny_1.1b_32k_orpo_alpha

Merge model

this model