Instructions to use shibatch/stories-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shibatch/stories-converted with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("shibatch/stories-converted", dtype="auto")

llama-cpp-python

How to use shibatch/stories-converted with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="shibatch/stories-converted",
	filename="stories15M.BF16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use shibatch/stories-converted with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf shibatch/stories-converted:BF16
# Run inference directly in the terminal:
llama-cli -hf shibatch/stories-converted:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf shibatch/stories-converted:BF16
# Run inference directly in the terminal:
llama-cli -hf shibatch/stories-converted:BF16

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 shibatch/stories-converted:BF16
# Run inference directly in the terminal:
./llama-cli -hf shibatch/stories-converted:BF16

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 shibatch/stories-converted:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf shibatch/stories-converted:BF16

Use Docker

docker model run hf.co/shibatch/stories-converted:BF16

LM Studio
Jan
Ollama
How to use shibatch/stories-converted with Ollama:
```
ollama run hf.co/shibatch/stories-converted:BF16
```

Unsloth Studio

How to use shibatch/stories-converted 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 shibatch/stories-converted 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 shibatch/stories-converted to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for shibatch/stories-converted to start chatting

Docker Model Runner
How to use shibatch/stories-converted with Docker Model Runner:
```
docker model run hf.co/shibatch/stories-converted:BF16
```

Lemonade

How to use shibatch/stories-converted with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull shibatch/stories-converted:BF16

Run and chat with the model

lemonade run user.stories-converted-BF16

List all available models

lemonade list

shibatch commited on 6 days ago

Commit

50b3f72

verified ·

1 Parent(s): ee427df

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

hf_stories260K/config.json +28 -0
hf_stories260K/model.safetensors +3 -0

hf_stories260K/config.json ADDED Viewed

	@@ -0,0 +1,28 @@

+{
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 8,
+  "hidden_act": "silu",
+  "hidden_size": 64,
+  "initializer_range": 0.02,
+  "intermediate_size": 172,
+  "max_position_embeddings": 512,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 5,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.9.0",
+  "use_cache": true,
+  "vocab_size": 512
+}

hf_stories260K/model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

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