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Upload TFMistralForCausalLM

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README.md CHANGED
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  ---
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- library_name: transformers
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- tags: []
 
 
 
 
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  ---
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- Turns out that [Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) only have safetensors. This repo
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- is created to have the `.bin` files of the model.
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- This repo is created by:
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- ```py
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- model_id = "mistralai/Mistral-7B-Instruct-v0.3"
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- model = AutoModelForCausalLM.from_pretrained(model_id)
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- model.push_to_hub("ariG23498/Mistral-7B-Instruct-v0.3", safe_serialization=False)
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- ```
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- This is due to the fact that the TensorFlow port cannot use safetensors and need bin files.
 
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- You can use this model with TF like so:
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- ```py
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- model_tf = TFAutoModelForCausalLM.from_pretrained("ariG23498/Mistral-7B-Instruct-v0.3", from_pt=True)
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- tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
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- prompt = "My favourite condiment is"
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- model_inputs = tokenizer([prompt], return_tensors="tf")
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- generated_ids = model_tf.generate(**model_inputs, max_new_tokens=100, do_sample=True)
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- tokenizer.batch_decode(generated_ids)[0]
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- ```
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- As soon as the safetensors and TensorFlow issue is sorted one can ditch this repository and use the official repository!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: ariG23498/Mistral-7B-Instruct-v0.3
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: Mistral-7B-Instruct-v0.3
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+ results: []
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  ---
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+ # Mistral-7B-Instruct-v0.3
 
 
 
 
 
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+ This model is a fine-tuned version of [ariG23498/Mistral-7B-Instruct-v0.3](https://huggingface.co/ariG23498/Mistral-7B-Instruct-v0.3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ ## Model description
 
 
 
 
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: None
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - TensorFlow 2.11.0
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+ - Tokenizers 0.19.1
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  {
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- "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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  "architectures": [
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  "MistralForCausalLM"
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  ],
 
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  {
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+ "_name_or_path": "ariG23498/Mistral-7B-Instruct-v0.3",
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  "architectures": [
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  "MistralForCausalLM"
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  ],
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