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

7e90238

verified ·

1 Parent(s): 50b3f72

Upload folder using huggingface_hub

Browse files

Files changed (5) hide show

hf_stories15M/chat_template.jinja +1 -0
hf_stories15M/config.json +28 -0
hf_stories15M/model.safetensors +3 -0
hf_stories15M/tokenizer.json +0 -0
hf_stories15M/tokenizer_config.json +15 -0

hf_stories15M/chat_template.jinja ADDED Viewed

	@@ -0,0 +1 @@

+ {% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\n' + system_message + '\n<</SYS>>\n\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}

hf_stories15M/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": 48,
+  "hidden_act": "silu",
+  "hidden_size": 288,
+  "initializer_range": 0.02,
+  "intermediate_size": 768,
+  "max_position_embeddings": 256,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 6,
+  "num_hidden_layers": 6,
+  "num_key_value_heads": 6,
+  "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": 32000
+}

hf_stories15M/model.safetensors ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:aa5b2be2bdc1c7f09398bc1ab07933c0adae6f707ace5c2c92d7258db9b994ce
+size 97636992

hf_stories15M/tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

hf_stories15M/tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,15 @@

+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 2048,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}