Instructions to use eulogik/Bharat-Tiny-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use eulogik/Bharat-Tiny-LLM 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("eulogik/Bharat-Tiny-LLM")

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 eulogik/Bharat-Tiny-LLM with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "eulogik/Bharat-Tiny-LLM"

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": "eulogik/Bharat-Tiny-LLM"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use eulogik/Bharat-Tiny-LLM 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 "eulogik/Bharat-Tiny-LLM"

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 eulogik/Bharat-Tiny-LLM

Run Hermes

hermes

OpenClaw new

How to use eulogik/Bharat-Tiny-LLM with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "eulogik/Bharat-Tiny-LLM"

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 "eulogik/Bharat-Tiny-LLM" \
  --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 eulogik/Bharat-Tiny-LLM with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "eulogik/Bharat-Tiny-LLM"

Run an OpenAI-compatible server

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

GautamKishore commited on 17 days ago

Commit

a8d7199

verified ·

1 Parent(s): 47bb2af

Upload folder using huggingface_hub

Browse files

Files changed (4) hide show

chat_template.jinja +1 -1
config.json +31 -70
model.safetensors +2 -2
tokenizer_config.json +1 -1

chat_template.jinja CHANGED Viewed

@@ -10,7 +10,7 @@
         {{- "\n" }}
         {{- tool | tojson }}
     {%- endfor %}
-    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
 {%- else %}
     {%- if messages[0]['role'] == 'system' %}
         {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}

         {{- "\n" }}
         {{- tool | tojson }}
     {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{{\"name\": <function-name>, \"arguments\": <args-json-object>}}\n</tool_call><|im_end|>\n" }}
 {%- else %}
     {%- if messages[0]['role'] == 'system' %}
         {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}

config.json CHANGED Viewed

@@ -1,72 +1,33 @@
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 {
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+    "mode": "affine"
+  }
 }

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tokenizer_config.json CHANGED Viewed

@@ -3,7 +3,7 @@
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