Instructions to use llmware/slim-summary-tiny-tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llmware/slim-summary-tiny-tool with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("llmware/slim-summary-tiny-tool", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use llmware/slim-summary-tiny-tool 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 llmware/slim-summary-tiny-tool # Run inference directly in the terminal: llama cli -hf llmware/slim-summary-tiny-tool
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf llmware/slim-summary-tiny-tool # Run inference directly in the terminal: llama cli -hf llmware/slim-summary-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-summary-tiny-tool # Run inference directly in the terminal: ./llama-cli -hf llmware/slim-summary-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-summary-tiny-tool # Run inference directly in the terminal: ./build/bin/llama-cli -hf llmware/slim-summary-tiny-tool
Use Docker
docker model run hf.co/llmware/slim-summary-tiny-tool
- LM Studio
- Jan
- Ollama
How to use llmware/slim-summary-tiny-tool with Ollama:
ollama run hf.co/llmware/slim-summary-tiny-tool
- Unsloth Desktop
- Docker Model Runner
How to use llmware/slim-summary-tiny-tool with Docker Model Runner:
docker model run hf.co/llmware/slim-summary-tiny-tool
- Lemonade
How to use llmware/slim-summary-tiny-tool with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull llmware/slim-summary-tiny-tool
Run and chat with the model
lemonade run user.slim-summary-tiny-tool-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 2,326 Bytes
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"aib_version": "model_archive_061224_tl_summary_1",
"training_dataset": [
"summary_tl_061224_eos_5974.jsonl"
],
"training_timestamp": "Wed Jun 12 06:35:15 2024",
"training_comments": "tl-summary-061224-1",
"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"
} |