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- ---
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- library_name: transformers
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- tags: []
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- ---
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-
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- 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. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
 
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- #### Preprocessing [optional]
 
 
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- 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).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
 
 
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- #### Software
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- ## Citation [optional]
 
 
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
 
 
 
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- **APA:**
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- [More Information Needed]
 
 
 
 
 
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- ## Glossary [optional]
 
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
 
 
 
 
 
 
 
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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- [More Information Needed]
 
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+ # fein-14B 🚀
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Finetuned **Qwen 3-14B** on the *Smol-Talk Dolphin* dataset
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+ with LoRA adapters, then merged into a single set of full-precision weights
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+ for easy inference.
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+ | Model | Params | Base | Quant options | Checkpoints |
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+ |-------|--------|------|---------------|-------------|
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+ | `fein-14b` | 14.8 B | – (merged) | 4-bit / 8-bit | one folder, ready to load |
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## Table of contents
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+ 1. [Quick start (inference)](#quick-start-inference)
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+ 2. [Installation](#installation)
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+ 3. [Training](#training)
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+ 4. [Continuing training](#continuing-training)
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+ 5. [Merging the adapters](#merging-the-adapters)
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+ 6. [Pushing to your HF space](#pushing-to-hub)
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+ 7. [Repo layout](#repo-layout)
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+ 8. [Citation](#citation)
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+ 9. [License](#license)
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+ ---
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+ ## Quick start (inference)
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+ ```bash
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+ git clone https://huggingface.co/kieraisverybored/fein
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+ cd fein
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+ # Optional: create & activate conda env
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+ conda create -n fein python=3.11 -y
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+ conda activate fein
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+ ```
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+ Now install requirements.
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+ ```bash
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+ # 4-bit streaming chat
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+ python infer.py --model .
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+ # short answers (128 tokens max)
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+ python infer.py --model . --max-new 128
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+ ````
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+ ### Sample session
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+ ```text
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+ User: Hi!
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+ Assistant: Hello! How can I assist you today? 😊
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+ ```
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+ ---
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+ ## Installation
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+ ```bash
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+ # Core libs
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+ pip install torch>=2.2.0 transformers>=4.40.0 accelerate bitsandbytes
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+ # Optional quality-of-life
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+ pip install tqdm rich
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+ ```
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+ > **GPU:** A single 24 GB card is enough for 4-bit inference.
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+ > **CPU:** Possible with 8-bit + `device_map="cpu"`, but sloooow.
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+ ---
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+ ## Citation
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+ ```bibtex
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+ @misc{fein2025,
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+ title = {FEIN–14B: Smol-Talk fine-tune of Qwen 3-14B},
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+ author = {KieraDev},
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+ year = {2025},
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+ howpublished= {\url{https://huggingface.co/kieraisverybored/fein}}
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+ }
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+ ```
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+ ---
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+ ## License
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+ The base model inherits the **Apache License**; the finetuned weights are
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+ released under the same terms.
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+ The dataset is MIT-licensed.
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+ See for full details.
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+ ---
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+ > *Have fun experimenting—and please open an issue if you hit a snag!* 🙌