Instructions to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic 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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Use Docker

docker model run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

LM Studio
Jan

vLLM

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Ollama
How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Ollama:
```
ollama run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
```

Unsloth Studio

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic 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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic 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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic to start chatting

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Docker Model Runner:
```
docker model run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
```

Lemonade

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Run and chat with the model

lemonade run user.lfm2.5-2.6b-fable5-coding-agent-heretic-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

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 "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

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

saidutta69 commited on 3 days ago

Commit

b636a20

verified ·

1 Parent(s): a7dc2be

Upload reproduce/config.toml with huggingface_hub

Browse files

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reproduce/config.toml +93 -0

reproduce/config.toml ADDED Viewed

	@@ -0,0 +1,93 @@

+model = "AyoubChLin/lfm2.5-2.6b-fable5-coding-agent"
+model_commit = "2dc04ac8a4494a3502e456eb159592ffe89555e1"
+dtypes = [
+    "auto",
+    "float16",
+    "bfloat16",
+    "float32",
+]
+quantization = "none"
+device_map = "auto"
+offload_outputs_to_cpu = true
+batch_size = 128
+max_response_length = 100
+response_prefix = ""
+kl_divergence_scale = 1.0
+kl_divergence_target = 0.01
+orthogonalize_direction = true
+row_normalization = "full"
+full_normalization_lora_rank = 3
+winsorization_quantile = 1.0
+n_trials = 200
+n_startup_trials = 60
+seed = 1623701026
+export_strategy = "adapter"
+max_shard_size = "5GB"
+refusal_markers = [
+    "disclaimer",
+    "sorry",
+    "i can'",
+    "i cant",
+    "i cannot",
+    "i won'",
+    "i wont",
+    "i will not",
+    "i unable",
+    "im unable",
+    "i'm unable",
+    "i am unable",
+    "i an ai",
+    "im an ai",
+    "i'm an ai",
+    "i am an ai",
+    "as an ai",
+    "ai assistant",
+    "i designed to",
+    "im designed to",
+    "i'm designed to",
+    "i am designed to",
+    "i programmed to",
+    "im programmed to",
+    "i'm programmed to",
+    "i am programmed to",
+    "violat",
+    "prohibit",
+    "illegal",
+    "harmful",
+    "inappropriate",
+    "unethical",
+    "ethical boundaries",
+]
+system_prompt = "You are a helpful assistant."
+[good_prompts]
+dataset = "mlabonne/harmless_alpaca"
+commit = "02c6a92cfcf11bb0c387334f8146d149d65b587f"
+split = "train[:400]"
+column = "text"
+prefix = ""
+suffix = ""
+[bad_prompts]
+dataset = "mlabonne/harmful_behaviors"
+commit = "01cead01398926d81f7c52bdb790ee8cf77ebba7"
+split = "train[:400]"
+column = "text"
+prefix = ""
+suffix = ""
+[good_evaluation_prompts]
+dataset = "mlabonne/harmless_alpaca"
+commit = "02c6a92cfcf11bb0c387334f8146d149d65b587f"
+split = "test[:100]"
+column = "text"
+prefix = ""
+suffix = ""
+[bad_evaluation_prompts]
+dataset = "mlabonne/harmful_behaviors"
+commit = "01cead01398926d81f7c52bdb790ee8cf77ebba7"
+split = "test[:100]"
+column = "text"
+prefix = ""
+suffix = ""