Instructions to use llmware/slim-extract-tiny-tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use llmware/slim-extract-tiny-tool with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("llmware/slim-extract-tiny-tool", dtype="auto")

llama-cpp-python

How to use llmware/slim-extract-tiny-tool with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="llmware/slim-extract-tiny-tool",
	filename="tiny-extract.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use llmware/slim-extract-tiny-tool with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf llmware/slim-extract-tiny-tool
# Run inference directly in the terminal:
llama-cli -hf llmware/slim-extract-tiny-tool

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf llmware/slim-extract-tiny-tool
# Run inference directly in the terminal:
llama-cli -hf llmware/slim-extract-tiny-tool

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 llmware/slim-extract-tiny-tool
# Run inference directly in the terminal:
./llama-cli -hf llmware/slim-extract-tiny-tool

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 llmware/slim-extract-tiny-tool
# Run inference directly in the terminal:
./build/bin/llama-cli -hf llmware/slim-extract-tiny-tool

Use Docker

docker model run hf.co/llmware/slim-extract-tiny-tool

LM Studio
Jan
Ollama
How to use llmware/slim-extract-tiny-tool with Ollama:
```
ollama run hf.co/llmware/slim-extract-tiny-tool
```

Unsloth Studio new

How to use llmware/slim-extract-tiny-tool 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 llmware/slim-extract-tiny-tool 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 llmware/slim-extract-tiny-tool to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for llmware/slim-extract-tiny-tool to start chatting

Docker Model Runner
How to use llmware/slim-extract-tiny-tool with Docker Model Runner:
```
docker model run hf.co/llmware/slim-extract-tiny-tool
```

Lemonade

How to use llmware/slim-extract-tiny-tool with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull llmware/slim-extract-tiny-tool

Run and chat with the model

lemonade run user.slim-extract-tiny-tool-{{QUANT_TAG}}

List all available models

lemonade list

doberst commited on Jun 12, 2024

Commit

53fba5f

verified ·

1 Parent(s): 7410585

Upload config.json

Browse files

Files changed (1) hide show

config.json +89 -0

config.json ADDED Viewed

	@@ -0,0 +1,89 @@

+{
+  "aib_version": "model_archive_061224_tl_extract_0",
+  "training_dataset": [
+    "extract_tl_061224_eos_9442.jsonl"
+  ],
+  "training_timestamp": "Wed Jun 12 06:28:19 2024",
+  "training_comments": "tl-extract-061224-0",
+  "vocab_size": 32000,
+  "max_position_embeddings": 2048,
+  "hidden_size": 2048,
+  "intermediate_size": 5632,
+  "num_hidden_layers": 22,
+  "num_attention_heads": 32,
+  "num_key_value_heads": 4,
+  "hidden_act": "silu",
+  "initializer_range": 0.02,
+  "rms_norm_eps": 1e-05,
+  "pretraining_tp": 1,
+  "use_cache": true,
+  "rope_theta": 10000.0,
+  "rope_scaling": null,
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "return_dict": true,
+  "output_hidden_states": false,
+  "output_attentions": false,
+  "torchscript": false,
+  "torch_dtype": "float32",
+  "use_bfloat16": false,
+  "tf_legacy_loss": false,
+  "pruned_heads": {},
+  "tie_word_embeddings": false,
+  "chunk_size_feed_forward": 0,
+  "is_encoder_decoder": false,
+  "is_decoder": false,
+  "cross_attention_hidden_size": null,
+  "add_cross_attention": false,
+  "tie_encoder_decoder": false,
+  "max_length": 20,
+  "min_length": 0,
+  "do_sample": false,
+  "early_stopping": false,
+  "num_beams": 1,
+  "num_beam_groups": 1,
+  "diversity_penalty": 0.0,
+  "temperature": 1.0,
+  "top_k": 50,
+  "top_p": 1.0,
+  "typical_p": 1.0,
+  "repetition_penalty": 1.0,
+  "length_penalty": 1.0,
+  "no_repeat_ngram_size": 0,
+  "encoder_no_repeat_ngram_size": 0,
+  "bad_words_ids": null,
+  "num_return_sequences": 1,
+  "output_scores": false,
+  "return_dict_in_generate": false,
+  "forced_bos_token_id": null,
+  "forced_eos_token_id": null,
+  "remove_invalid_values": false,
+  "exponential_decay_length_penalty": null,
+  "suppress_tokens": null,
+  "begin_suppress_tokens": null,
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "finetuning_task": null,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1"
+  },
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "tokenizer_class": null,
+  "prefix": null,
+  "bos_token_id": 1,
+  "pad_token_id": null,
+  "eos_token_id": 2,
+  "sep_token_id": null,
+  "decoder_start_token_id": null,
+  "task_specific_params": null,
+  "problem_type": null,
+  "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
+  "transformers_version": "4.38.1",
+  "model_type": "llama",
+  "trained": "custom training"
+}