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README.md

@@ -3,56 +3,202 @@ library_name: peft
 base_model: TinyPixel/Llama-2-7B-bf16-sharded
 ---
 
+# Model Card for Model ID
 
-```py
-from typing import Any
-from transformers import AutoTokenizer, AutoModelForCausalLM
-from transformers import GenerationConfig
-import warnings
+<!-- Provide a quick summary of what the model is/does. -->
 
-from peft import PeftConfig, PeftModel
 
 
-warnings.filterwarnings("ignore")
+## Model Details
 
+### Model Description
 
-class InferenceLLM:
-    def __init__(self, path_or_model_name, use_flash_attention_2=False):
+<!-- Provide a longer summary of what this model is. -->
 
-        self.config = PeftConfig.from_pretrained(path_or_model_name)
-        self.model = AutoModelForCausalLM.from_pretrained(
-            self.config.base_model_name_or_path,
-            return_dict=True,
-            load_in_4bit=True,
-            device_map="auto",
-        )
-        self.tokenizer = AutoTokenizer.from_pretrained(self.config.base_model_name_or_path)
 
-        # Load the Lora model
-        self.model = PeftModel.from_pretrained(self.model, path_or_model_name)
 
-        # self.model = AutoModelForCausalLM.from_pretrained(path_or_model_name)
-        # self.tokenizer =AutoTokenizer.from_pretrained(path_or_model_name)
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
 
-    def __call__(self, prompt: str) -> Any:
+### Model Sources [optional]
 
-        input_ids = self.tokenizer(prompt, return_tensors="pt")
-        output = self.model.generate(**input_ids, max_length=40)
-        text_generated = self.tokenizer.decode(output[0], skip_special_tokens=True)
+<!-- Provide the basic links for the model. -->
 
-        return text_generated
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
 
+## Uses
 
-if __name__ == "__main__":
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
-    # prompt="### Instruction: You are Yacine , an assistant virtual to help user .\n ### Question: What's your name ?\n### Answer :"
+### Direct Use
 
-    prompt = "### Human: Kañ lañu faat Tomaa Sànkara ?\n### Assistant:"
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-    generator = InferenceLLM(
-        path_or_model_name="galsenai/llama-2-7B_wolof_qa_assistant"
-        )
+[More Information Needed]
 
-    print(generator(prompt=prompt))
+### Downstream Use [optional]
 
-```
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_rslora": false

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b10d50df453bdb208220b4be33edd80a1e36502ca997bb4ec88ddc9d5187f673
+oid sha256:3ae83ed9b2e5a68e1887eaa59eaf0469610a72a56d03de15a7387a77b02b9e97
 size 134235048