Instructions to use Sela223/Captain-Foxfire-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sela223/Captain-Foxfire-12B with Transformers:

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

pipe = pipeline("text-generation", model="Sela223/Captain-Foxfire-12B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Sela223/Captain-Foxfire-12B")
model = AutoModelForCausalLM.from_pretrained("Sela223/Captain-Foxfire-12B")
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 Sela223/Captain-Foxfire-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sela223/Captain-Foxfire-12B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sela223/Captain-Foxfire-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Sela223/Captain-Foxfire-12B

SGLang

How to use Sela223/Captain-Foxfire-12B 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 "Sela223/Captain-Foxfire-12B" \
    --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": "Sela223/Captain-Foxfire-12B",
		"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 "Sela223/Captain-Foxfire-12B" \
        --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": "Sela223/Captain-Foxfire-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sela223/Captain-Foxfire-12B with Docker Model Runner:
```
docker model run hf.co/Sela223/Captain-Foxfire-12B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

merged

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: MrRikyz/Foxfire_Bloom
dtype: bfloat16
merge_method: slerp
tokenizer_source: base

slices:
  - sources:
      - model: MrRikyz/Foxfire_Bloom
        layer_range: [0, 40]
      - model: Nitral-AI/Captain-Eris_Violet-V0.420-12B
        layer_range: [0, 40]

parameters:
  rescale: true
  t:
    - filter: ".*(q_proj|k_proj|v_proj).*"
      value: [0.0, 0.2, 0.4, 0.5, 0.6, 0.65, 0.65, 0.6, 0.5, 0.4, 0.2, 0.0]
    - filter: ".*o_proj.*"
      value: [0.0, 0.15, 0.3, 0.4, 0.45, 0.5, 0.5, 0.45, 0.4, 0.3, 0.15, 0.0]
    - filter: self_attn
      value: [0.0, 0.2, 0.4, 0.5, 0.6, 0.7, 0.7, 0.6, 0.5, 0.4, 0.2, 0.0]
      
    - filter: ".*(gate_proj|up_proj|down_proj).*"
      value: [0.0, 0.1, 0.2, 0.3, 0.4, 0.4, 0.4, 0.4, 0.3, 0.2, 0.1, 0.0]
    - filter: mlp
      value: [0.0, 0.1, 0.2, 0.3, 0.4, 0.4, 0.4, 0.4, 0.3, 0.2, 0.1, 0.0]

    - filter: ".*(input_layernorm|post_attention_layernorm|layernorm).*"
      value: [0.0, 0.3, 0.5, 0.6, 0.4, 0.0, 0.0, 0.4, 0.6, 0.5, 0.3, 0.0]

    - filter: "^(embed_tokens|lm_head)$"
      value: 0.0

    - value: [0.0, 0.3, 0.5, 0.6, 0.4, 0.0, 0.0, 0.4, 0.6, 0.5, 0.3, 0.0]

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Safetensors

Model size

12B params

Tensor type

BF16

Model tree for Sela223/Captain-Foxfire-12B

MrRikyz/Foxfire_Bloom

Nitral-AI/Captain-Eris_Violet-V0.420-12B

Merge model

this model

Merges

1 model

Quantizations

2 models