Instructions to use continuum-ai/olmoe-1b-7b-compacted-5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use continuum-ai/olmoe-1b-7b-compacted-5b with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("continuum-ai/olmoe-1b-7b-compacted-5b")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use continuum-ai/olmoe-1b-7b-compacted-5b with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

Use Docker

docker model run hf.co/continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

LM Studio
Jan

vLLM

How to use continuum-ai/olmoe-1b-7b-compacted-5b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "continuum-ai/olmoe-1b-7b-compacted-5b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "continuum-ai/olmoe-1b-7b-compacted-5b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

Ollama
How to use continuum-ai/olmoe-1b-7b-compacted-5b with Ollama:
```
ollama run hf.co/continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M
```

Unsloth Studio

How to use continuum-ai/olmoe-1b-7b-compacted-5b 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 continuum-ai/olmoe-1b-7b-compacted-5b 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 continuum-ai/olmoe-1b-7b-compacted-5b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for continuum-ai/olmoe-1b-7b-compacted-5b to start chatting

Atomic Chat new

MLX LM

How to use continuum-ai/olmoe-1b-7b-compacted-5b with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "continuum-ai/olmoe-1b-7b-compacted-5b"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "continuum-ai/olmoe-1b-7b-compacted-5b"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "continuum-ai/olmoe-1b-7b-compacted-5b",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Docker Model Runner
How to use continuum-ai/olmoe-1b-7b-compacted-5b with Docker Model Runner:
```
docker model run hf.co/continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M
```

Lemonade

How to use continuum-ai/olmoe-1b-7b-compacted-5b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull continuum-ai/olmoe-1b-7b-compacted-5b:Q5_K_M

Run and chat with the model

lemonade run user.olmoe-1b-7b-compacted-5b-Q5_K_M

List all available models

lemonade list

EnricoFermi commited on Apr 9

Commit

03e65a9

verified ·

1 Parent(s): 71a9d04

Correct olmoe-1b-7b-compacted-5b.alloy.json pass@1 to canonical evalplus convention (v1.0.0)

Browse files

Files changed (1) hide show

olmoe-1b-7b-compacted-5b.alloy.json +12 -3

olmoe-1b-7b-compacted-5b.alloy.json CHANGED Viewed

@@ -151,7 +151,15 @@
       }
     ],
     "integrity": {
-      "trustLevel": "self-attested"
     }
   },
   "priorMetricBaselines": [
@@ -185,7 +193,8 @@
           "deltaVsAnchorHumaneval": -12.9,
           "deltaVsAnchorHumanevalPlus": -10.4
         },
-        "samplesPath": "eval/humaneval/student_samples_broad_calibration.jsonl"
       },
       "outcome": "negative_baseline",
       "supersededBy": "olmoe-code-corpus-2026-04-08",
@@ -210,4 +219,4 @@
     ],
     "issuedAt": "2026-04-08T16:36:55.037319+00:00"
   }
-}

       }
     ],
     "integrity": {
+      "trustLevel": "self-attested",
+      "fileHashes": [
+        {
+          "filename": "olmoe-1b-7b-compacted-5b.Q5_K_M.gguf",
+          "sha256": "0cb7e0fff9997752bb7d150d549627f590ec06ff1adee5744fa6fa596a99bdc3",
+          "size": 3781793632
+        }
+      ],
+      "modelHash": "sha256:7f3b3c31279035cd5226f13cd602875baf8a1dd74b45345ee5ca2f5988169df5"
     }
   },
   "priorMetricBaselines": [
           "deltaVsAnchorHumaneval": -12.9,
           "deltaVsAnchorHumanevalPlus": -10.4
         },
+        "samplesPath": "eval/humaneval/student_samples_broad_calibration.jsonl",
+        "samplesHash": "sha256:77bc81ff1f3a2a29b3936c2be1ac27f0cdc87c8028d8987b3742c2c0f41aa550"
       },
       "outcome": "negative_baseline",
       "supersededBy": "olmoe-code-corpus-2026-04-08",
     ],
     "issuedAt": "2026-04-08T16:36:55.037319+00:00"
   }
+}