Instructions to use harness-hub/LFM3-1.7B-opencode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harness-hub/LFM3-1.7B-opencode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM3-1.7B") model = PeftModel.from_pretrained(base_model, "harness-hub/LFM3-1.7B-opencode") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from harness-hub/LFM3-1.7B-opencode: direct link, hf CLI and curl.
- Browser
- Download file 1.86 kB
-
https://huggingface.co/harness-hub/LFM3-1.7B-opencode/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://harness-hub/LFM3-1.7B-opencode/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/harness-hub/LFM3-1.7B-opencode/resolve/main/tokenizer_config.json
1.86 kB
| { | |
| "audio_out_token": "<|audio_out|>", | |
| "audio_token": "<|audio|>", | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|im_end|>", | |
| "extra_special_tokens": [], | |
| "image_token": "<|image|>", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "model_specific_special_tokens": { | |
| "audio_out_token": "<|audio_out|>", | |
| "audio_token": "<|audio|>", | |
| "image_token": "<|image|>", | |
| "video_token": "<|video|>", | |
| "vision_end_token": "<|vision_end|>", | |
| "vision_start_token": "<|vision_start|>" | |
| }, | |
| "pad_token": "<|pad|>", | |
| "response_template": { | |
| "defaults": { | |
| "role": "assistant" | |
| }, | |
| "fields": { | |
| "content": { | |
| "close_pattern": "<\\|im_end\\|>\\s*", | |
| "content": "text" | |
| }, | |
| "reasoning_content": { | |
| "close_pattern": "</think>\\s*", | |
| "content": "text", | |
| "open_pattern": "<think>\\n?" | |
| }, | |
| "tool_calls": { | |
| "close_pattern": "</tool_call>\\s*", | |
| "content": "xml-inline", | |
| "content_args": { | |
| "tag_pattern": "<parameter=(?P<key>[^>\\n]+)>\\n?(?P<value>.*?)\\n?</parameter>(?=\\s*(?:<parameter=|</function>\\s*\\Z|\\Z))", | |
| "value_parser": { | |
| "args": { | |
| "strip": false | |
| }, | |
| "name": "text" | |
| } | |
| }, | |
| "open_pattern": "<tool_call>\\s*<function=(?P<name>[^\\n>]+)>", | |
| "repeats": true, | |
| "transform": { | |
| "function": { | |
| "arguments": "{content}", | |
| "name": "{name}" | |
| }, | |
| "type": "function" | |
| } | |
| } | |
| }, | |
| "start_anchor_pattern": "<\\|im_start\\|>assistant\\n" | |
| }, | |
| "tokenizer_class": "TokenizersBackend", | |
| "video_token": "<|video|>", | |
| "vision_end_token": "<|vision_end|>", | |
| "vision_start_token": "<|vision_start|>" | |
| } | |