Instructions to use LoganResearch/ARC-Mamba-7B-CF-HOT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LoganResearch/ARC-Mamba-7B-CF-HOT with Transformers:

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

pipe = pipeline("text-generation", model="LoganResearch/ARC-Mamba-7B-CF-HOT")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("LoganResearch/ARC-Mamba-7B-CF-HOT", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use LoganResearch/ARC-Mamba-7B-CF-HOT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LoganResearch/ARC-Mamba-7B-CF-HOT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LoganResearch/ARC-Mamba-7B-CF-HOT",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LoganResearch/ARC-Mamba-7B-CF-HOT

SGLang

How to use LoganResearch/ARC-Mamba-7B-CF-HOT 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 "LoganResearch/ARC-Mamba-7B-CF-HOT" \
    --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": "LoganResearch/ARC-Mamba-7B-CF-HOT",
		"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 "LoganResearch/ARC-Mamba-7B-CF-HOT" \
        --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": "LoganResearch/ARC-Mamba-7B-CF-HOT",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LoganResearch/ARC-Mamba-7B-CF-HOT with Docker Model Runner:
```
docker model run hf.co/LoganResearch/ARC-Mamba-7B-CF-HOT
```

ARC-Mamba-7B-CF-HOT / base_model /config.json

LoganResearch

Upload folder using huggingface_hub

720d5ab verified 8 months ago

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	{
	"_name_or_path": "tiiuae/falcon-mamba-7b-chat",
	"architectures": [
	"FalconMambaForCausalLM"
	],
	"bos_token_id": 8,
	"conv_kernel": 4,
	"eos_token_id": 11,
	"expand": 16,
	"hidden_act": "silu",
	"hidden_size": 4096,
	"initializer_range": 0.1,
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	"layer_norm_epsilon": 1e-05,
	"model_type": "falcon_mamba",
	"num_hidden_layers": 64,
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	"residual_in_fp32": true,
	"state_size": 16,
	"tie_word_embeddings": false,
	"time_step_floor": 0.0001,
	"time_step_init_scheme": "random",
	"time_step_max": 0.1,
	"time_step_min": 0.001,
	"time_step_rank": 256,
	"time_step_scale": 1.0,
	"torch_dtype": "bfloat16",
	"transformers_version": "4.44.0.dev0",
	"use_bias": false,
	"use_cache": true,
	"use_conv_bias": true,
	"use_mambapy": false,
	"vocab_size": 65024
	}