Instructions to use Codemaster67/ChemOlmo-7b-2nd_2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Codemaster67/ChemOlmo-7b-2nd_2000 with Transformers:

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

pipe = pipeline("text-generation", model="Codemaster67/ChemOlmo-7b-2nd_2000")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Codemaster67/ChemOlmo-7b-2nd_2000")
model = AutoModelForCausalLM.from_pretrained("Codemaster67/ChemOlmo-7b-2nd_2000")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Codemaster67/ChemOlmo-7b-2nd_2000 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Codemaster67/ChemOlmo-7b-2nd_2000"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Codemaster67/ChemOlmo-7b-2nd_2000",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Codemaster67/ChemOlmo-7b-2nd_2000

SGLang

How to use Codemaster67/ChemOlmo-7b-2nd_2000 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 "Codemaster67/ChemOlmo-7b-2nd_2000" \
    --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": "Codemaster67/ChemOlmo-7b-2nd_2000",
		"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 "Codemaster67/ChemOlmo-7b-2nd_2000" \
        --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": "Codemaster67/ChemOlmo-7b-2nd_2000",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use Codemaster67/ChemOlmo-7b-2nd_2000 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Codemaster67/ChemOlmo-7b-2nd_2000 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Codemaster67/ChemOlmo-7b-2nd_2000 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Codemaster67/ChemOlmo-7b-2nd_2000 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Codemaster67/ChemOlmo-7b-2nd_2000",
    max_seq_length=2048,
)

Docker Model Runner
How to use Codemaster67/ChemOlmo-7b-2nd_2000 with Docker Model Runner:
```
docker model run hf.co/Codemaster67/ChemOlmo-7b-2nd_2000
```

Codemaster67 commited on Mar 20

Commit

b078251

verified ·

1 Parent(s): 418644e

(Trained with Unsloth)

Browse files

Files changed (3) hide show

config.json +31 -0
tokenizer.json +0 -0
tokenizer_config.json +15 -0

config.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+    "architectures": [
+        "OlmoForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "clip_qkv": null,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 50279,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 11008,
+    "max_position_embeddings": 2048,
+    "model_name": "Codemaster67/ChemOlmo-7b",
+    "model_type": "olmo",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 32,
+    "pad_token_id": 1,
+    "pretraining_tp": 1,
+    "rope_parameters": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+    },
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.3.8",
+    "use_cache": true,
+    "vocab_size": 50304
+}

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,15 @@

+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|padding|>",
+  "padding_side": "left",
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "trim_offsets": true,
+  "unk_token": null
+}