Instructions to use ArtusDev/qingy2024_GRMR-V3-L3B-EXL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArtusDev/qingy2024_GRMR-V3-L3B-EXL3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArtusDev/qingy2024_GRMR-V3-L3B-EXL3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download config.json from ArtusDev/qingy2024_GRMR-V3-L3B-EXL3: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/ArtusDev/qingy2024_GRMR-V3-L3B-EXL3/resolve/6.0bpw_H6/config.json
- Command line
-
hf download hf://ArtusDev/qingy2024_GRMR-V3-L3B-EXL3@6.0bpw_H6/config.json
-
curl -L -o config.json https://huggingface.co/ArtusDev/qingy2024_GRMR-V3-L3B-EXL3/resolve/6.0bpw_H6/config.json
2.16 kB
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 128000, | |
| "chat_template": "{{- bos_token }}\n{%- if not date_string is defined %}\n{%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n{%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- endif %}\n\n{#- Remove system message handling entirely #}\n{%- if messages[0]['role'] == 'system' %}\n{%- set messages = messages[1:] %}\n{%- endif %}\n\n{#- Process messages with role mapping #}\n{%- for message in messages %}\n{%- if message['role'] == 'user' %}\n {{- '<|start_header_id|>text<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}\n{%- elif message['role'] == 'assistant' %}\n {{- '<|start_header_id|>corrected<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}\n{%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n{{- '<|start_header_id|>corrected<|end_header_id|>\n\n' }}\n{%- endif %}", | |
| "eos_token_id": 128001, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "max_position_embeddings": 131072, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 24, | |
| "num_hidden_layers": 28, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 128004, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": { | |
| "factor": 32.0, | |
| "high_freq_factor": 4.0, | |
| "low_freq_factor": 1.0, | |
| "original_max_position_embeddings": 8192, | |
| "rope_type": "llama3" | |
| }, | |
| "rope_theta": 500000.0, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.52.4", | |
| "unsloth_fixed": true, | |
| "unsloth_version": "2025.5.9", | |
| "use_cache": true, | |
| "vocab_size": 128256, | |
| "quantization_config": { | |
| "quant_method": "exl3", | |
| "version": "0.0.3", | |
| "bits": 6.0, | |
| "head_bits": 6, | |
| "calibration": { | |
| "rows": 100, | |
| "cols": 2048 | |
| }, | |
| "out_scales": "auto" | |
| } | |
| } |