Instructions to use rootxhacker/Apollo-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rootxhacker/Apollo-14B with Transformers:

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

pipe = pipeline("text-generation", model="rootxhacker/Apollo-14B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("rootxhacker/Apollo-14B")
model = AutoModelForCausalLM.from_pretrained("rootxhacker/Apollo-14B")
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

vLLM

How to use rootxhacker/Apollo-14B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rootxhacker/Apollo-14B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rootxhacker/Apollo-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/rootxhacker/Apollo-14B

SGLang

How to use rootxhacker/Apollo-14B 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 "rootxhacker/Apollo-14B" \
    --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": "rootxhacker/Apollo-14B",
		"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 "rootxhacker/Apollo-14B" \
        --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": "rootxhacker/Apollo-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use rootxhacker/Apollo-14B with Docker Model Runner:
```
docker model run hf.co/rootxhacker/Apollo-14B
```

lbourdois commited on Apr 28, 2025

Commit

30eb9f7

verified ·

1 Parent(s): c625fd8

Improve language tag

Browse files

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

Files changed (1) hide show

README.md +74 -60

README.md CHANGED Viewed

@@ -1,61 +1,75 @@
----
-base_model:
-- SicariusSicariiStuff/Impish_QWEN_14B-1M
-- Qwen/Qwen2.5-14B-Instruct
-- sometimesanotion/LamarckInfusion-14B-v1
-- Qwen/Qwen2.5-Coder-14B
-- suayptalha/Lamarckvergence-14B
-- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
-- Qwen/Qwen2.5-14B
-- tanliboy/lambda-qwen2.5-14b-dpo-test
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-library_name: transformers
-tags:
-- mergekit
-- merge
-license: mit
----
-# merge
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-## Merge Details
-### Merge Method
-This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
-### Models Merged
-The following models were included in the merge:
-* [SicariusSicariiStuff/Impish_QWEN_14B-1M](https://huggingface.co/SicariusSicariiStuff/Impish_QWEN_14B-1M)
-* [sometimesanotion/LamarckInfusion-14B-v1](https://huggingface.co/sometimesanotion/LamarckInfusion-14B-v1)
-* [Qwen/Qwen2.5-Coder-14B](https://huggingface.co/Qwen/Qwen2.5-Coder-14B)
-* [suayptalha/Lamarckvergence-14B](https://huggingface.co/suayptalha/Lamarckvergence-14B)
-* [huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2)
-* [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B)
-* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test)
-* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-models:
-  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B #logic
-  - model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
-  - model: Qwen/Qwen2.5-14B #text generation
-  - model: Qwen/Qwen2.5-14B-Instruct #chat assistant
-  - model: Qwen/Qwen2.5-Coder-14B #coding
-  - model: sometimesanotion/LamarckInfusion-14B-v1
-  - model: suayptalha/Lamarckvergence-14B
-  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
-  - model: SicariusSicariiStuff/Impish_QWEN_14B-1M
-merge_method: model_stock
-base_model: Qwen/Qwen2.5-14B-Instruct
-normalize: true
-int8_mask: true
-dtype: bfloat16
 ```

+---
+base_model:
+- SicariusSicariiStuff/Impish_QWEN_14B-1M
+- Qwen/Qwen2.5-14B-Instruct
+- sometimesanotion/LamarckInfusion-14B-v1
+- Qwen/Qwen2.5-Coder-14B
+- suayptalha/Lamarckvergence-14B
+- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
+- Qwen/Qwen2.5-14B
+- tanliboy/lambda-qwen2.5-14b-dpo-test
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: mit
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+# merge
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## Merge Details
+### Merge Method
+This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
+### Models Merged
+The following models were included in the merge:
+* [SicariusSicariiStuff/Impish_QWEN_14B-1M](https://huggingface.co/SicariusSicariiStuff/Impish_QWEN_14B-1M)
+* [sometimesanotion/LamarckInfusion-14B-v1](https://huggingface.co/sometimesanotion/LamarckInfusion-14B-v1)
+* [Qwen/Qwen2.5-Coder-14B](https://huggingface.co/Qwen/Qwen2.5-Coder-14B)
+* [suayptalha/Lamarckvergence-14B](https://huggingface.co/suayptalha/Lamarckvergence-14B)
+* [huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2)
+* [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B)
+* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test)
+* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+models:
+  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B #logic
+  - model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
+  - model: Qwen/Qwen2.5-14B #text generation
+  - model: Qwen/Qwen2.5-14B-Instruct #chat assistant
+  - model: Qwen/Qwen2.5-Coder-14B #coding
+  - model: sometimesanotion/LamarckInfusion-14B-v1
+  - model: suayptalha/Lamarckvergence-14B
+  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
+  - model: SicariusSicariiStuff/Impish_QWEN_14B-1M
+merge_method: model_stock
+base_model: Qwen/Qwen2.5-14B-Instruct
+normalize: true
+int8_mask: true
+dtype: bfloat16
 ```