Instructions to use CALISTA-INDUSTRY/NeuralArchitectureSearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("CALISTA-INDUSTRY/NeuralArchitectureSearch", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch 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 CALISTA-INDUSTRY/NeuralArchitectureSearch:F16
# Run inference directly in the terminal:
llama cli -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16
# Run inference directly in the terminal:
llama cli -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

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 CALISTA-INDUSTRY/NeuralArchitectureSearch:F16
# Run inference directly in the terminal:
./llama-cli -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

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 CALISTA-INDUSTRY/NeuralArchitectureSearch:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

Use Docker

docker model run hf.co/CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

LM Studio
Jan
Ollama
How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with Ollama:
```
ollama run hf.co/CALISTA-INDUSTRY/NeuralArchitectureSearch:F16
```

Unsloth Studio

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch 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 CALISTA-INDUSTRY/NeuralArchitectureSearch 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 CALISTA-INDUSTRY/NeuralArchitectureSearch to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for CALISTA-INDUSTRY/NeuralArchitectureSearch to start chatting

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "CALISTA-INDUSTRY/NeuralArchitectureSearch:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with Docker Model Runner:
```
docker model run hf.co/CALISTA-INDUSTRY/NeuralArchitectureSearch:F16
```

Lemonade

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

Run and chat with the model

lemonade run user.NeuralArchitectureSearch-F16

List all available models

lemonade list

Hermes Agent

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

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 CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use CALISTA-INDUSTRY/NeuralArchitectureSearch with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CALISTA-INDUSTRY/NeuralArchitectureSearch:F16

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 "CALISTA-INDUSTRY/NeuralArchitectureSearch:F16" \
  --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"

rizkysulaeman commited on Mar 16, 2025

Commit

33dbb6e

verified ·

1 Parent(s): 72598e4

Upload model trained with Unsloth

Browse files

Upload model trained with Unsloth 2x faster

Files changed (2) hide show

adapter_config.json +8 -8
adapter_model.safetensors +2 -2

adapter_config.json CHANGED Viewed

@@ -12,26 +12,26 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 56,
   "lora_bias": false,
-  "lora_dropout": 0.17355997562408448,
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 32,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "gate_proj",
     "up_proj",
-    "k_proj",
     "v_proj",
     "down_proj",
-    "o_proj",
-    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,
-  "use_rslora": false
 }

   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
+  "lora_alpha": 8,
   "lora_bias": false,
+  "lora_dropout": 0.09555708169937134,
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
+  "r": 52,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "q_proj",
     "up_proj",
     "v_proj",
+    "gate_proj",
+    "k_proj",
     "down_proj",
+    "o_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,
+  "use_rslora": true
 }

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:063c345d8bfbf0093ea23d2d1a856f98a0b2143ac973beb785b58f81b517d787
-size 90207248

 version https://git-lfs.github.com/spec/v1
+oid sha256:77e4cdf072d18ecd4c66950fac677a379f31b7e222ceec63a6504d24873f59b0
+size 146568368