Instructions to use tchbcb/sami-27b-mixbit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use tchbcb/sami-27b-mixbit 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 tchbcb/sami-27b-mixbit:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf tchbcb/sami-27b-mixbit:IQ4_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tchbcb/sami-27b-mixbit:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf tchbcb/sami-27b-mixbit:IQ4_XS

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 tchbcb/sami-27b-mixbit:IQ4_XS
# Run inference directly in the terminal:
./llama-cli -hf tchbcb/sami-27b-mixbit:IQ4_XS

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 tchbcb/sami-27b-mixbit:IQ4_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tchbcb/sami-27b-mixbit:IQ4_XS

Use Docker

docker model run hf.co/tchbcb/sami-27b-mixbit:IQ4_XS

LM Studio
Jan
Ollama
How to use tchbcb/sami-27b-mixbit with Ollama:
```
ollama run hf.co/tchbcb/sami-27b-mixbit:IQ4_XS
```
Unsloth Desktop

How to use tchbcb/sami-27b-mixbit with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tchbcb/sami-27b-mixbit:IQ4_XS

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": "tchbcb/sami-27b-mixbit:IQ4_XS"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use tchbcb/sami-27b-mixbit with Docker Model Runner:
```
docker model run hf.co/tchbcb/sami-27b-mixbit:IQ4_XS
```

Lemonade

How to use tchbcb/sami-27b-mixbit with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tchbcb/sami-27b-mixbit:IQ4_XS

Run and chat with the model

lemonade run user.sami-27b-mixbit-IQ4_XS

List all available models

lemonade list

Hermes Agent

How to use tchbcb/sami-27b-mixbit with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tchbcb/sami-27b-mixbit:IQ4_XS

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 tchbcb/sami-27b-mixbit:IQ4_XS

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use tchbcb/sami-27b-mixbit with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tchbcb/sami-27b-mixbit:IQ4_XS

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 "tchbcb/sami-27b-mixbit:IQ4_XS" \
  --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"

tchbcb commited on Sep 18

Commit

94d3eef

verified ·

1 Parent(s): cea8f7b

log push: push.log (0918_023427)

Browse files

Files changed (1) hide show

logs/0918_023427_push.log +54 -0

logs/0918_023427_push.log ADDED Viewed

	@@ -0,0 +1,54 @@

+[   0.7s] whoami: tchbcb
+[   0.7s] GGUF: /tmp/k27/gguf/samai-27b-mixbit-Q5_K_M.gguf (19.40 GB) -> samai-27b-mixbit-Q5_K_M.gguf
+[   7.9s] README pushed
+Traceback (most recent call last):
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_http.py", line 761, in hf_raise_for_status
+    response.raise_for_status()
+  File "/usr/local/lib/python3.12/dist-packages/httpx/_models.py", line 829, in raise_for_status
+    raise HTTPStatusError(message, request=request, response=self)
+httpx.HTTPStatusError: Client error '403 Forbidden' for url 'https://huggingface.co/tchbcb/sami-27b-mixbit.git/info/lfs/objects/batch'
+For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403
+The above exception was the direct cause of the following exception:
+Traceback (most recent call last):
+  File "/tmp/k27/s27_push_mixbit.py", line 38, in <module>
+    api.upload_file(path_or_fileobj=GGUF, path_in_repo=FNAME,
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_api.py", line 2062, in _inner
+    return fn(self, *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_api.py", line 5365, in upload_file
+    return self.create_commit(
+           ^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_api.py", line 2062, in _inner
+    return fn(self, *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_api.py", line 4920, in create_commit
+    self.preupload_lfs_files(
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_api.py", line 5192, in preupload_lfs_files
+    _upload_files(**upload_kwargs, num_threads=num_threads, create_pr=create_pr)  # type: ignore [arg-type]
+    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/_commit_api.py", line 391, in _upload_files
+    actions_chunk, errors_chunk, chosen_transfer = post_lfs_batch_info(
+                                                   ^^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/lfs.py", line 166, in post_lfs_batch_info
+    hf_raise_for_status(resp)
+  File "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_http.py", line 849, in hf_raise_for_status
+    raise _format(HfHubHTTPError, message, response) from e
+huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-6aaca332-4bed05dc0fe12e626de2c300;a2cb77e8-15ed-4353-943d-ae920da7ca31)
+403 Forbidden: Private repository storage limit reached, please upgrade your plan to increase your private storage limit.
+Cannot access content at: https://huggingface.co/tchbcb/sami-27b-mixbit.git/info/lfs/objects/batch.
+Make sure your token has the correct permissions.