Instructions to use spicyneuron/GLM-5.1-MLX-2.9bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use spicyneuron/GLM-5.1-MLX-2.9bit 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("spicyneuron/GLM-5.1-MLX-2.9bit")

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
LM Studio

Pi new

How to use spicyneuron/GLM-5.1-MLX-2.9bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "spicyneuron/GLM-5.1-MLX-2.9bit"

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": "spicyneuron/GLM-5.1-MLX-2.9bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use spicyneuron/GLM-5.1-MLX-2.9bit 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 "spicyneuron/GLM-5.1-MLX-2.9bit"

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 spicyneuron/GLM-5.1-MLX-2.9bit

Run Hermes

hermes

MLX LM

How to use spicyneuron/GLM-5.1-MLX-2.9bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "spicyneuron/GLM-5.1-MLX-2.9bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "spicyneuron/GLM-5.1-MLX-2.9bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "spicyneuron/GLM-5.1-MLX-2.9bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

spicyneuron commited on Apr 24

Commit

cea20af

verified ·

1 Parent(s): 887f95f

Update chat_template.jinja

Browse files

Files changed (1) hide show

chat_template.jinja +3 -1

chat_template.jinja CHANGED Viewed

@@ -94,7 +94,7 @@ For each function call, output the function name and arguments within the follow
 {%- endif %}
 {%- if m.content is string -%}
     {{- '<tool_response>' + m.content + '</tool_response>' -}}
-{%- else -%}
     {{- '<tool_response><tools>\n' -}}
     {% for tr in m.content %}
         {%- for tool in tools -%}
@@ -107,6 +107,8 @@ For each function call, output the function name and arguments within the follow
         {%- endfor -%}
     {%- endfor -%}
     {{- '</tools></tool_response>' -}}
 {% endif -%}
 {%- elif m.role == 'system' -%}
 <|system|>{{ visible_text(m.content) }}

 {%- endif %}
 {%- if m.content is string -%}
     {{- '<tool_response>' + m.content + '</tool_response>' -}}
+{%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0.type == "tool_reference" -%}
     {{- '<tool_response><tools>\n' -}}
     {% for tr in m.content %}
         {%- for tool in tools -%}
         {%- endfor -%}
     {%- endfor -%}
     {{- '</tools></tool_response>' -}}
+{%- else -%}
+    {{- '<tool_response>' + visible_text(m.content) + '</tool_response>' -}}
 {% endif -%}
 {%- elif m.role == 'system' -%}
 <|system|>{{ visible_text(m.content) }}