Text Generation
PEFT
Safetensors
English
Russian
qwen
qwen3.5
lora
unsloth
trl
sft
code
reasoning
bilingual
obsidian
graphite
conversational
Instructions to use OpenReasonAI/Graphite1.0-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OpenReasonAI/Graphite1.0-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "OpenReasonAI/Graphite1.0-4B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use OpenReasonAI/Graphite1.0-4B 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 OpenReasonAI/Graphite1.0-4B 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 OpenReasonAI/Graphite1.0-4B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for OpenReasonAI/Graphite1.0-4B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="OpenReasonAI/Graphite1.0-4B", max_seq_length=2048, )
File size: 1,206 Bytes
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"alora_invocation_tokens": null,
"alpha_pattern": {},
"arrow_config": null,
"auto_mapping": {
"base_model_class": "Qwen3_5ForConditionalGeneration",
"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
"unsloth_fixed": true
},
"base_model_name_or_path": "Qwen/Qwen3.5-4B-Base",
"bias": "none",
"corda_config": null,
"ensure_weight_tying": false,
"eva_config": null,
"exclude_modules": null,
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 16,
"lora_bias": false,
"lora_dropout": 0.0,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": null,
"peft_type": "LORA",
"peft_version": "0.18.1",
"qalora_group_size": 16,
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"v_proj",
"q_proj",
"gate_proj",
"down_proj",
"o_proj",
"k_proj",
"up_proj"
],
"target_parameters": null,
"task_type": "CAUSAL_LM",
"trainable_token_indices": null,
"use_dora": false,
"use_qalora": false,
"use_rslora": false
} |