Instructions to use Naphula/Goetia-24B-v1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Naphula/Goetia-24B-v1.4 with Transformers:

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

pipe = pipeline("text-generation", model="Naphula/Goetia-24B-v1.4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Naphula/Goetia-24B-v1.4")
model = AutoModelForCausalLM.from_pretrained("Naphula/Goetia-24B-v1.4", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Naphula/Goetia-24B-v1.4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Naphula/Goetia-24B-v1.4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Naphula/Goetia-24B-v1.4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Naphula/Goetia-24B-v1.4

SGLang

How to use Naphula/Goetia-24B-v1.4 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 "Naphula/Goetia-24B-v1.4" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Naphula/Goetia-24B-v1.4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Naphula/Goetia-24B-v1.4" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Naphula/Goetia-24B-v1.4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Naphula/Goetia-24B-v1.4 with Docker Model Runner:
```
docker model run hf.co/Naphula/Goetia-24B-v1.4
```

Naphula commited on 15 days ago

Commit

a2083a8

verified ·

1 Parent(s): 6185290

Upload 8 files

Browse files

Files changed (5) hide show

.gitattributes +1 -0
Goetia_Claude.png +3 -0
config.json +1 -1
mergekit_config.yml +47 -0
tokenizer_config.json +0 -1

.gitattributes CHANGED Viewed

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text

 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+Goetia_Claude.png filter=lfs diff=lfs merge=lfs -text

Goetia_Claude.png ADDED Viewed

Git LFS Details

SHA256: d63eab8f05fbfe1fc20ab1dcbe45fffae441d68e7b14e6233ad15fc4b3dbf5bc
Pointer size: 132 Bytes
Size of remote file: 1.71 MB

config.json CHANGED Viewed

@@ -21,7 +21,7 @@
   "rope_theta": 1000000000.0,
   "sliding_window": null,
   "tie_word_embeddings": false,
-  "transformers_version": "4.57.6",
   "use_cache": true,
   "vocab_size": 131076
 }

   "rope_theta": 1000000000.0,
   "sliding_window": null,
   "tie_word_embeddings": false,
+  "transformers_version": "4.56.1",
   "use_cache": true,
   "vocab_size": 131076
 }

mergekit_config.yml ADDED Viewed

	@@ -0,0 +1,47 @@

+architecture: MistralForCausalLM
+models:
+  - model: B:\24B\!models--Darkhn--Magistral-2509-24B-Text-Only
+  - model: B:\24B\!BeaverAI_Fallen-Mistral-Small-3.1-24B-v1e_textonly
+    parameters:
+      weight: 0.25
+      density: 0.75
+      epsilon: 0.25
+  - model: B:\24B\Naphula--Slimaki-24B-v1
+    parameters:
+      weight: 0.25
+      density: 0.75
+      epsilon: 0.25
+  - model: B:\24B\!models--Casual-Autopsy--Maginum-Cydoms-24B
+    parameters:
+      weight: 0.2
+      density: 0.5
+      epsilon: 0.25
+  - model: B:\24B\sophosympatheia--Magistry-24B-v1.0
+    parameters:
+      weight: 0.2
+      density: 0.5
+      epsilon: 0.25
+  - model: B:\24B\DarkArtsForge--Morbid-Miasma-24B
+    parameters:
+      weight: 0.6
+      density: 1.0
+      epsilon: 0.0
+  - model: B:\24B\!models--mradermacher--BlackXorDolphTronGOAT-GGUF
+    parameters:
+      weight: 0.1
+      density: 0.5
+      epsilon: 0.25
+merge_method: della
+base_model: B:\24B\!models--Darkhn--Magistral-2509-24B-Text-Only
+parameters:
+  lambda: 1.0
+  normalize: false
+  int8_mask: false
+  rescale: true
+  seed: 420
+tokenizer:
+  source: union
+chat_template: auto
+dtype: float32
+out_dtype: bfloat16
+name: 📜 Goetia 24B v1.4

tokenizer_config.json CHANGED Viewed

@@ -9042,7 +9042,6 @@
   "clean_up_tokenization_spaces": false,
   "eos_token": "</s>",
   "extra_special_tokens": {},
-  "fix_mistral_regex": false,
   "legacy": true,
   "model_max_length": 131072,
   "pad_token": "<pad>",

   "clean_up_tokenization_spaces": false,
   "eos_token": "</s>",
   "extra_special_tokens": {},
   "legacy": true,
   "model_max_length": 131072,
   "pad_token": "<pad>",