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Llama-Q4V
jleuth/Llama-Q4V
Llama-Q4V is a text generation model from jleuth. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Llama-Q4V is a quantized and voice-optimized version of Llama-3.1-8B-Instruct, and is the core LLM for Ai Tag, an open source $20 competitor to Humane's Ai Pin.
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Model card
From the Hugging Face model README
Model Card for Llama-Q4V
<!-- Provide a quick summary of what the model is/does. -->Llama-Q4V is a quantized and voice-optimized version of Llama-3.1-8B-Instruct, and is the core LLM for Ai Tag, an open source $20 competitor to Humane's Ai Pin.
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed, Funded, and Shared by: Jacob Leuthardt
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
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
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
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How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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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. -->Llama-Q4V was evaluated on HellaSwag, GLUE, and TriviaQA
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| - cola | 1 | none | 0 | mcc | ↑ | 0.0409 | ± | 0.0323 |
| glue | N/A | none | 0 | acc | ↑ | 0.5002 | ± | 0.0019 |
| none | 0 | f1 | ↑ | 0.5789 | ± | 0.0026 | ||
| none | 0 | mcc | ↑ | 0.0409 | ± | 0.0323 | ||
| hellaswag | 1 | none | 0 | acc | ↑ | 0.5849 | ± | 0.0049 |
| none | 0 | acc_norm | ↑ | 0.7846 | ± | 0.0041 | ||
| - mnli | 1 | none | 0 | acc | ↑ | 0.5200 | ± | 0.0050 |
| - mnli_mismatch | 1 | none | 0 | acc | ↑ | 0.5098 | ± | 0.0050 |
| - mrpc | 1 | none | 0 | acc | ↑ | 0.6887 | ± | 0.0230 |
| none | 0 | f1 | ↑ | 0.8113 | ± | 0.0165 | ||
| - qnli | 1 | none | 0 | acc | ↑ | 0.5032 | ± | 0.0068 |
| - qqp | 2 | none | 0 | acc | ↑ | 0.4816 | ± | 0.0025 |
| none | 0 | f1 | ↑ | 0.5765 | ± | 0.0027 | ||
| - rte | 1 | none | 0 | acc | ↑ | 0.6679 | ± | 0.0283 |
| - sst2 | 1 | none | 0 | acc | ↑ | 0.8612 | ± | 0.0117 |
| triviaqa | 3 | remove_whitespace | 0 | exact_match | ↑ | 0.4962 | ± | 0.0037 |
| - wnli | 2 | none | 0 | acc | ↑ | 0.6197 | ± | 0.0580 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| glue | N/A | none | 0 | acc | ↑ | 0.5002 | ± | 0.0019 |
| none | 0 | f1 | ↑ | 0.5789 | ± | 0.0026 | ||
| none | 0 | mcc | ↑ | 0.0409 | ± | 0.0323 |
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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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 presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
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- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
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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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- mit
- Created
- Aug 28, 2024
- Updated
- Sep 1, 2024