Instructions to use SargeDev/Solar-JEV-27B-R32-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use SargeDev/Solar-JEV-27B-R32-GGUF 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 SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf SargeDev/Solar-JEV-27B-R32-GGUF: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 SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf SargeDev/Solar-JEV-27B-R32-GGUF: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 SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

Use Docker

docker model run hf.co/SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use SargeDev/Solar-JEV-27B-R32-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SargeDev/Solar-JEV-27B-R32-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SargeDev/Solar-JEV-27B-R32-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

Ollama
How to use SargeDev/Solar-JEV-27B-R32-GGUF with Ollama:
```
ollama run hf.co/SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M
```
Unsloth Desktop

How to use SargeDev/Solar-JEV-27B-R32-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

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": "SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use SargeDev/Solar-JEV-27B-R32-GGUF with Docker Model Runner:
```
docker model run hf.co/SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M
```

Lemonade

How to use SargeDev/Solar-JEV-27B-R32-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Solar-JEV-27B-R32-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use SargeDev/Solar-JEV-27B-R32-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SargeDev/Solar-JEV-27B-R32-GGUF: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 SargeDev/Solar-JEV-27B-R32-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use SargeDev/Solar-JEV-27B-R32-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf SargeDev/Solar-JEV-27B-R32-GGUF: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 "SargeDev/Solar-JEV-27B-R32-GGUF: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"

SargeDev commited on 1 day ago

Commit

f6fd533

verified ·

1 Parent(s): 796f6f1

add decision machinery: calibration.json

Browse files

Files changed (1) hide show

calibration.json +44 -0

calibration.json ADDED Viewed

	@@ -0,0 +1,44 @@

+{
+  "version": 1,
+  "per_kind": {
+    "noul": 1.0143134751376188,
+    "choice": 1.0161280671450397,
+    "score": 1.0036213515883572
+  },
+  "per_kind_family": {},
+  "fit": {
+    "noul": {
+      "n": 4363,
+      "T": 1.0143134751376188,
+      "kl_before": 0.004241107031702995,
+      "kl_after": 0.004223881289362907
+    },
+    "choice": {
+      "n": 3418,
+      "T": 1.0161280671450397,
+      "kl_before": 0.04535770043730736,
+      "kl_after": 0.04530283063650131
+    },
+    "score": {
+      "n": 3173,
+      "T": 1.0036213515883572,
+      "kl_before": 0.0210201907902956,
+      "kl_after": 0.021016595885157585
+    }
+  },
+  "diagnostic_calibration_split": {
+    "raw": {
+      "kl": 0.021931130439043045,
+      "ece": 0.002680546396815126,
+      "mce": 0.012234896421432495
+    },
+    "calibrated": {
+      "kl": 0.021906107664108276,
+      "ece": 0.0014270851053589991,
+      "mce": 0.01255643367767334
+    }
+  },
+  "source": "checkpoints/s2_27b/best",
+  "fit_rows": 10954,
+  "d1_excluded": true
+}