Instructions to use RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5 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("RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5")

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
LM Studio

How to use RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5 with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5

Run Hermes

hermes

OpenClaw new

How to use RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

MLX LM

How to use RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5 with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ5",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

RepublicOfKorokke commited on Mar 30

Commit

f4bb756

verified ·

1 Parent(s): 9386b24

Update README.md

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README.md +68 -3

README.md CHANGED Viewed

@@ -1,9 +1,29 @@
 ---
 library_name: mlx
 tags:
-- mlx
-- oq
-- quantized
 ---
 # GLM-4.7-Flash-REAP-23B-A3B-oQ5
@@ -16,3 +36,48 @@ This model was quantized using [oQ](https://github.com/jundot/omlx) mixed-precis
 - **Bits**: 5
 - **Group size**: 64
 - **Format**: MLX safetensors

 ---
+language:
+  - en
 library_name: mlx
 tags:
+  - glm
+  - MOE
+  - pruning
+  - compression
+  - mlx
+  - oq
+  - quantized
+license: mit
+name: cerebras/GLM-4.7-Flash-REAP-23B-A3B
+description:
+  "This model was obtained by uniformly pruning 25% of experts in GLM-4.7-Flash
+  using the REAP method.
+  "
+readme:
+  "https://huggingface.co/cerebras/GLM-4.7-Flash-REAP-23B-A3B/main/README.md
+  "
+license_link: https://huggingface.co/zai-org/GLM-4.7-Flash/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model: cerebras/GLM-4.7-Flash-REAP-23B-A3B
 ---
 # GLM-4.7-Flash-REAP-23B-A3B-oQ5
 - **Bits**: 5
 - **Group size**: 64
 - **Format**: MLX safetensors
+# Benchmark
+| Model                                                          | File size | MMLU  | JMMLU | HELLASWAG | GSM8K | ARC_CHALLENGE |
+| -------------------------------------------------------------- | --------- | ----- | ----- | --------- | ----- | ------------- |
+| GLM-4.7-Flash-REAP-23B-A3B-6bit                                | 17.43 GB  | 62.3% | 46.0% | 53.0%     | 96.7% | 73.0%         |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3                                 | 9.91 GB   | 53.3% | 38.3% | 47.7%     | 73.3% | 73.3%         |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3.5                               | 10.62 GB  | 57.7% | 49.3% | 60.0%     | 93.3% | 65.0%         |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | 12.51 GB  | 59.3% | 43.0% | 53.3%     | 87.7% | 78.7%         |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ5                                 | 15.21 GB  | 61.0% | 45.3% | 59.0%     | 90.0% | 81.0%         |
+## Detail
+| Model                                                          | Benchmark     | Accuracy | Correct | Total | Time(s) |
+| -------------------------------------------------------------- | ------------- | -------- | ------- | ----- | ------- |
+| GLM-4.7-Flash-REAP-23B-A3B-6bit                                | MMLU          | 62.3%    | 187     | 300   | 505.9   |
+| GLM-4.7-Flash-REAP-23B-A3B-6bit                                | JMMLU         | 46.0%    | 138     | 300   | 239.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-6bit                                | HELLASWAG     | 53.0%    | 53      | 100   | 114.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-6bit                                | GSM8K         | 96.7%    | 29      | 30    | 88.6    |
+| GLM-4.7-Flash-REAP-23B-A3B-6bit                                | ARC_CHALLENGE | 73.0%    | 73      | 100   | 64.4    |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3                                 | MMLU          | 53.3%    | 160     | 300   | 602.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3                                 | JMMLU         | 38.3%    | 115     | 300   | 255.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3                                 | HELLASWAG     | 47.7%    | 143     | 300   | 346.8   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3                                 | ARC_CHALLENGE | 73.3%    | 220     | 300   | 204.8   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3                                 | GSM8K         | 73.3%    | 220     | 300   | 1029.3  |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3.5                               | MMLU          | 57.7%    | 173     | 300   | 555.1   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3.5                               | JMMLU         | 49.3%    | 148     | 300   | 252.4   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3.5                               | HELLASWAG     | 60.0%    | 60      | 100   | 107.2   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3.5                               | GSM8K         | 93.3%    | 28      | 30    | 76.4    |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ3.5                               | ARC_CHALLENGE | 65.0%    | 65      | 100   | 61.5    |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | MMLU          | 63.3%    | 190     | 300   | 550.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | JMMLU         | 39.7%    | 119     | 300   | 250.9   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | HELLASWAG     | 51.0%    | 51      | 100   | 103.4   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | GSM8K         | 90.0%    | 27      | 30    | 75.6    |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | ARC_CHALLENGE | 70.0%    | 70      | 100   | 59.8    |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | MMLU          | 59.3%    | 178     | 300   | 547.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | JMMLU         | 43.0%    | 129     | 300   | 232.6   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | HELLASWAG     | 53.3%    | 160     | 300   | 300.5   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | ARC_CHALLENGE | 78.7%    | 236     | 300   | 179.7   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ4                                 | GSM8K         | 87.7%    | 263     | 300   | 748.4   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ5                                 | MMLU          | 61.0%    | 183     | 300   | 617.8   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ5                                 | JMMLU         | 45.3%    | 136     | 300   | 273     |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ5                                 | HELLASWAG     | 59.0%    | 177     | 300   | 353.6   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ5                                 | ARC_CHALLENGE | 81.0%    | 243     | 300   | 201.2   |
+| GLM-4.7-Flash-REAP-23B-A3B-oQ5                                 | GSM8K         | 90.0%    | 270     | 300   | 1001.1  |