Instructions to use eci-io/climategpt-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use eci-io/climategpt-13b with Transformers:

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

pipe = pipeline("text-generation", model="eci-io/climategpt-13b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("eci-io/climategpt-13b")
model = AutoModelForCausalLM.from_pretrained("eci-io/climategpt-13b", 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 eci-io/climategpt-13b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "eci-io/climategpt-13b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "eci-io/climategpt-13b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/eci-io/climategpt-13b

SGLang

How to use eci-io/climategpt-13b 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 "eci-io/climategpt-13b" \
    --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": "eci-io/climategpt-13b",
		"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 "eci-io/climategpt-13b" \
        --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": "eci-io/climategpt-13b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use eci-io/climategpt-13b with Docker Model Runner:
```
docker model run hf.co/eci-io/climategpt-13b
```

climategpt-13b / .integrity /iroh-collection /bafkr4igdbcn4o6nas4fuwbli7nncyyim4odd7capopglzwlmx2ym4gqrom

tjbrunk

add integrity graph files

896c3de verified over 2 years ago

Raw

History Blame

2.23 kB

{"apptek_climate_v4-all-role.bin":"bafkr4idznttwwi7lxycqp4vsf6cvp7dvbdgk4prksco5chdtbtf75te5ma","apptek_climate_v4-all-role.idx":"bafkr4id3vlltizhxpbeqaf46fgpoiokwbltnqixphwsyjloonp3ne4n7nm","apptek_climate_v4-all-text.bin":"bafkr4id6dzogacc6fywbf2mm3v5vykjc54xpbrcoqv4yjekz7eru3d3sqq","apptek_climate_v4-all-text.idx":"bafkr4id3vlltizhxpbeqaf46fgpoiokwbltnqixphwsyjloonp3ne4n7nm","apptek_general_v1-train-role.bin":"bafkr4ibb57qup2aolqfqv5ifumpuisxnrfjgpvfc2q45b52djgrfftxymy","apptek_general_v1-train-role.idx":"bafkr4iaph3u2xzoupthpqhz43tfzzatnz67ig7vgouin567wg4h52tvez4","apptek_general_v1-train-text.bin":"bafkr4iewo44p7prxwzg7qzxadxm64qd2frba6rpwp3cjvmxz2zgp2gjdbq","apptek_general_v1-train-text.idx":"bafkr4iaph3u2xzoupthpqhz43tfzzatnz67ig7vgouin567wg4h52tvez4","empty_prompt_v1-all-role.bin":"bafkr4iaujqp25vdvadp6hit2g3untpfkhn5hzzgn4kygwb2qqmf3pz55ly","empty_prompt_v1-all-role.idx":"bafkr4ifs3joeh5e6h6vtfa6hhix5w32oj3kefir2a2bw23vhxwtbije3qy","empty_prompt_v1-all-text.bin":"bafkr4iaujqp25vdvadp6hit2g3untpfkhn5hzzgn4kygwb2qqmf3pz55ly","empty_prompt_v1-all-text.idx":"bafkr4ifs3joeh5e6h6vtfa6hhix5w32oj3kefir2a2bw23vhxwtbije3qy","llama_safety_v2-all-role.bin":"bafkr4ihwtaqu7mwdyjt6toz66yhsvdgsaax6427nrvj6tlaimth65tt2v4","llama_safety_v2-all-role.idx":"bafkr4ihkmtha2d5nqeexsrdoedj4mxztxk42amaghxre2xg3g7a46smr7a","llama_safety_v2-all-text.bin":"bafkr4ihwtaqu7mwdyjt6toz66yhsvdgsaax6427nrvj6tlaimth65tt2v4","llama_safety_v2-all-text.idx":"bafkr4ihkmtha2d5nqeexsrdoedj4mxztxk42amaghxre2xg3g7a46smr7a","tulu_cot_v1-all-role.bin":"bafkr4ibasjuzyodd7wnesczhw7y7evtwpk7symc5raptzn47jpf72gbldi","tulu_cot_v1-all-role.idx":"bafkr4ieqt6ncs3uablz4vmidluoqb33gxaruqvo2evqfsffqcfbhcnqyne","tulu_cot_v1-all-text.bin":"bafkr4icr4oj3fvnpomueiuotprsijigqrr6msa6p6soclvk7ou3jqpcqai","tulu_cot_v1-all-text.idx":"bafkr4ieqt6ncs3uablz4vmidluoqb33gxaruqvo2evqfsffqcfbhcnqyne","tulu_flan_v1-all-role.bin":"bafkr4igq3da74fhahkahixicrti2jrk7x4sogl54g3m73gfjojknpf6vum","tulu_flan_v1-all-role.idx":"bafkr4ihhl6lk7mwhmad63fgzuasjqocfnp22dyh5g6mghzcdjj2fbfmtha","tulu_flan_v1-all-text.bin":"bafkr4ihkgmcxktpbhu7i4b6kj4czl7c5zeuolfi5u5ocvagwtzkzasgqba","tulu_flan_v1-all-text.idx":"bafkr4ihhl6lk7mwhmad63fgzuasjqocfnp22dyh5g6mghzcdjj2fbfmtha"}