|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: |
|
|
- mistralai/Ministral-3-8B-Instruct-2512-BF16 |
|
|
--- |
|
|
|
|
|
# Ministral-3-8B-Instruct-2512-TextOnly-BF16 |
|
|
|
|
|
This model is the **text-only component** extracted from the Vision-Language Model [mistralai/Ministral-3-8B-Instruct-2512-BF16](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512-BF16). |
|
|
|
|
|
## Usage |
|
|
|
|
|
You can load this model using `AutoModelForCausalLM` as shown below: |
|
|
|
|
|
```python |
|
|
from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
|
|
|
model_id = "Aratako/Ministral-3-8B-Instruct-2512-TextOnly-BF16" |
|
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model_id) |
|
|
model = AutoModelForCausalLM.from_pretrained( |
|
|
model_id, |
|
|
device_map="cuda", |
|
|
) |
|
|
|
|
|
messages = [ |
|
|
{ |
|
|
"role": "user", |
|
|
"content": "Tell me a joke about computers.", |
|
|
}, |
|
|
] |
|
|
|
|
|
input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda") |
|
|
|
|
|
output = model.generate( |
|
|
input_ids, max_new_tokens=512, pad_token_id=tokenizer.eos_token_id |
|
|
) |
|
|
|
|
|
decoded_output = tokenizer.decode( |
|
|
output[0][len(input_ids[0]) :], skip_special_tokens=True |
|
|
) |
|
|
print(decoded_output) |
|
|
``` |
|
|
|
|
|
## Original Model Information |
|
|
|
|
|
This is a weight extraction of the original VLM. For detailed benchmarks, licensing details, and architectural information, please refer to the original model card: **[mistralai/Ministral-3-8B-Instruct-2512-BF16](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512-BF16)** |