Instructions to use Youssef-Malek/contractnli-qwen3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Youssef-Malek/contractnli-qwen3-4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Youssef-Malek/contractnli-qwen3-4b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Youssef-Malek/contractnli-qwen3-4b 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 Youssef-Malek/contractnli-qwen3-4b 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 Youssef-Malek/contractnli-qwen3-4b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Youssef-Malek/contractnli-qwen3-4b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Youssef-Malek/contractnli-qwen3-4b", max_seq_length=2048, )
Training in progress, step 1
Browse files- .gitattributes +1 -0
- README.md +59 -0
- adapter_config.json +50 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +97 -0
- tokenizer.json +3 -0
- tokenizer_config.json +15 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,59 @@
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| 1 |
+
---
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| 2 |
+
base_model: unsloth/Qwen3-4B-bnb-4bit
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| 3 |
+
library_name: transformers
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| 4 |
+
model_name: contractnli-qwen3-4b
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| 5 |
+
tags:
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| 6 |
+
- generated_from_trainer
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| 7 |
+
- sft
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| 8 |
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- trl
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| 9 |
+
- unsloth
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| 10 |
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licence: license
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
# Model Card for contractnli-qwen3-4b
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+
This model is a fine-tuned version of [unsloth/Qwen3-4B-bnb-4bit](https://huggingface.co/unsloth/Qwen3-4B-bnb-4bit).
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| 16 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
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| 17 |
+
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| 18 |
+
## Quick start
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| 19 |
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| 20 |
+
```python
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| 21 |
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from transformers import pipeline
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| 22 |
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|
| 23 |
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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| 24 |
+
generator = pipeline("text-generation", model="Youssef-Malek/contractnli-qwen3-4b", device="cuda")
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| 25 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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| 26 |
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print(output["generated_text"])
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| 27 |
+
```
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| 28 |
+
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## Training procedure
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| 30 |
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+
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+
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This model was trained with SFT.
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| 35 |
+
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| 36 |
+
### Framework versions
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| 37 |
+
|
| 38 |
+
- TRL: 0.24.0
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| 39 |
+
- Transformers: 5.5.0
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| 40 |
+
- Pytorch: 2.10.0+cu128
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| 41 |
+
- Datasets: 4.3.0
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| 42 |
+
- Tokenizers: 0.22.2
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| 43 |
+
|
| 44 |
+
## Citations
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| 45 |
+
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| 46 |
+
|
| 47 |
+
|
| 48 |
+
Cite TRL as:
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| 49 |
+
|
| 50 |
+
```bibtex
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| 51 |
+
@misc{vonwerra2022trl,
|
| 52 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 53 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
|
| 54 |
+
year = 2020,
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| 55 |
+
journal = {GitHub repository},
|
| 56 |
+
publisher = {GitHub},
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| 57 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
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| 58 |
+
}
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| 59 |
+
```
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adapter_config.json
ADDED
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@@ -0,0 +1,50 @@
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{
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| 2 |
+
"alora_invocation_tokens": null,
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| 3 |
+
"alpha_pattern": {},
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| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3ForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.qwen3.modeling_qwen3",
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| 8 |
+
"unsloth_fixed": true
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| 9 |
+
},
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| 10 |
+
"base_model_name_or_path": "unsloth/Qwen3-4B-bnb-4bit",
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| 11 |
+
"bias": "none",
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| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
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| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
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| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
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| 23 |
+
"lora_alpha": 16,
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| 24 |
+
"lora_bias": false,
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| 25 |
+
"lora_dropout": 0.0,
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| 26 |
+
"megatron_config": null,
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| 27 |
+
"megatron_core": "megatron.core",
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| 28 |
+
"modules_to_save": null,
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| 29 |
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"peft_type": "LORA",
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| 30 |
+
"peft_version": "0.18.1",
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| 31 |
+
"qalora_group_size": 16,
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| 32 |
+
"r": 8,
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| 33 |
+
"rank_pattern": {},
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| 34 |
+
"revision": null,
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| 35 |
+
"target_modules": [
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| 36 |
+
"up_proj",
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| 37 |
+
"k_proj",
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| 38 |
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"gate_proj",
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| 39 |
+
"down_proj",
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| 40 |
+
"q_proj",
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| 41 |
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"o_proj",
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| 42 |
+
"v_proj"
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| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false
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| 50 |
+
}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e40ba27596ac87aad90cb28c21922ea5a360f26c56093e58853ec5cf5ceca82
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| 3 |
+
size 66126768
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chat_template.jinja
ADDED
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@@ -0,0 +1,97 @@
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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| 3 |
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{%- if messages[0].role == 'system' %}
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| 4 |
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{{- messages[0].content + '\n\n' }}
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| 5 |
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{%- endif %}
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| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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| 7 |
+
{%- for tool in tools %}
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| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
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| 10 |
+
{%- endfor %}
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| 11 |
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for forward_message in messages %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- set message = messages[index] %}
|
| 21 |
+
{%- set tool_start = '<tool_response>' %}
|
| 22 |
+
{%- set tool_start_length = tool_start|length %}
|
| 23 |
+
{%- set start_of_message = message.content[:tool_start_length] %}
|
| 24 |
+
{%- set tool_end = '</tool_response>' %}
|
| 25 |
+
{%- set tool_end_length = tool_end|length %}
|
| 26 |
+
{%- set start_pos = (message.content|length) - tool_end_length %}
|
| 27 |
+
{%- if start_pos < 0 %}
|
| 28 |
+
{%- set start_pos = 0 %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- set end_of_message = message.content[start_pos:] %}
|
| 31 |
+
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
|
| 32 |
+
{%- set ns.multi_step_tool = false %}
|
| 33 |
+
{%- set ns.last_query_index = index %}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- for message in messages %}
|
| 37 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 38 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 39 |
+
{%- elif message.role == "assistant" %}
|
| 40 |
+
{%- set content = message.content %}
|
| 41 |
+
{%- set reasoning_content = '' %}
|
| 42 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
| 43 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 44 |
+
{%- else %}
|
| 45 |
+
{%- if '</think>' in message.content %}
|
| 46 |
+
{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
|
| 47 |
+
{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
|
| 48 |
+
{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 52 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 53 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 54 |
+
{%- else %}
|
| 55 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- else %}
|
| 58 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{%- if message.tool_calls %}
|
| 61 |
+
{%- for tool_call in message.tool_calls %}
|
| 62 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 63 |
+
{{- '\n' }}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
{%- if tool_call.function %}
|
| 66 |
+
{%- set tool_call = tool_call.function %}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 69 |
+
{{- tool_call.name }}
|
| 70 |
+
{{- '", "arguments": ' }}
|
| 71 |
+
{%- if tool_call.arguments is string %}
|
| 72 |
+
{{- tool_call.arguments }}
|
| 73 |
+
{%- else %}
|
| 74 |
+
{{- tool_call.arguments | tojson }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '}\n</tool_call>' }}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '<|im_end|>\n' }}
|
| 80 |
+
{%- elif message.role == "tool" %}
|
| 81 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 82 |
+
{{- '<|im_start|>user' }}
|
| 83 |
+
{%- endif %}
|
| 84 |
+
{{- '\n<tool_response>\n' }}
|
| 85 |
+
{{- message.content }}
|
| 86 |
+
{{- '\n</tool_response>' }}
|
| 87 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 88 |
+
{{- '<|im_end|>\n' }}
|
| 89 |
+
{%- endif %}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- endfor %}
|
| 92 |
+
{%- if add_generation_prompt %}
|
| 93 |
+
{{- '<|im_start|>assistant\n' }}
|
| 94 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 95 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
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| 3 |
+
size 11423114
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tokenizer_config.json
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"model_max_length": 40960,
|
| 10 |
+
"pad_token": "<|PAD_TOKEN|>",
|
| 11 |
+
"padding_side": "right",
|
| 12 |
+
"split_special_tokens": false,
|
| 13 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 14 |
+
"unk_token": null
|
| 15 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1aa75c5229a947ff28246200c77e5f195e5ab2fed5213a12df9747df61487efa
|
| 3 |
+
size 5777
|