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Model: Flexan/adityasoni17-CodeScout-4B-GGUF
Source: Original Platform

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README.md

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+---
+base_model: adityasoni17/CodeScout-4B
+library_name: transformers
+tags: []
+---
+
+# GGUF Files for CodeScout-4B
+
+These are the GGUF files for [adityasoni17/CodeScout-4B](https://huggingface.co/adityasoni17/CodeScout-4B).
+
+## Downloads
+
+| GGUF Link | Quantization | Description |
+| ---- | ----- | ----------- |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q2_K.gguf) | Q2_K | Lowest quality |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q3_K_S.gguf) | Q3_K_S |  |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.IQ3_S.gguf) | IQ3_S | Integer quant, preferable over Q3_K_S |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.IQ3_M.gguf) | IQ3_M | Integer quant |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q3_K_M.gguf) | Q3_K_M |  |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q3_K_L.gguf) | Q3_K_L |  |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.IQ4_XS.gguf) | IQ4_XS | Integer quant |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q4_K_S.gguf) | Q4_K_S | Fast with good performance |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q4_K_M.gguf) | Q4_K_M | **Recommended:** Perfect mix of speed and performance |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q5_K_S.gguf) | Q5_K_S |  |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q5_K_M.gguf) | Q5_K_M |  |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q6_K.gguf) | Q6_K | Very good quality |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.Q8_0.gguf) | Q8_0 | Best quality |
+| [Download](https://huggingface.co/Flexan/adityasoni17-CodeScout-4B-GGUF/resolve/main/CodeScout-4B.f16.gguf) | f16 | Full precision, don't bother; use a quant |
+
+## Note from Flexan
+
+I provide GGUFs and quantizations of publicly available models that do not have a GGUF equivalent available yet,
+usually for models **I deem interesting and wish to try out**.
+
+If there are some quants missing that you'd like me to add, you may request one in the community tab.
+If you want to request a public model to be converted, you can also request that in the community tab.
+If you have questions regarding this model, please refer to [the original model repo](https://huggingface.co/adityasoni17/CodeScout-4B).
+
+You can find more info about me and what I do [here](https://huggingface.co/Flexan/Flexan).
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
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+- **Model type:** [More Information Needed]
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+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
+### Out-of-Scope Use
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+
+## 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
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+<!-- This should link to a Dataset Card if possible. -->
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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
+
+
+
+## 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]
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+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
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+[More Information Needed]
+
+### Compute Infrastructure
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