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Text Generation
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---
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
- agibot-world/AgiBotWorld-Alpha
language:
- aa
- ab
- ae
- af
- ak
- am
- an
- ar
- as
- av
- ay
- az
- ba
- be
- bg
- bh
- bi
- bm
- bn
- bo
- br
- bs
- ca
- ce
- ch
- co
- cr
- cs
- cu
- cv
- cy
- da
- de
- dv
- dz
- ee
- el
- en
- eo
- es
- et
- eu
- fa
- ff
- fi
- fj
- fo
- fr
- fy
- ga
- gd
- gl
- gn
- gu
- gv
- ha
- he
- hi
- ho
- hr
- ht
- hu
- hy
- hz
- ia
- id
- ie
- ig
- ii
- ik
- io
- is
- it
- iu
- ja
- jv
- ka
- kg
- ki
- kj
- kk
- km
- kl
- kn
- ko
- kr
- ks
- ku
- kv
- kw
- ky
- la
- lb
- lg
- li
- ln
- lo
- lu
- lt
- lv
- mg
- mh
- mk
- ml
- mn
- mr
- ms
- mt
- my
- na
- nb
- nd
- ne
- ng
- nl
- mi
- 'no'
- nn
- nr
- nv
- ny
- oc
- oj
- om
- or
- os
- pa
- pi
- pl
- ps
- pt
- qu
- rm
- rn
- ro
- ru
- rw
- sa
- sc
- sd
- se
metrics:
- accuracy
base_model:
- deepseek-ai/DeepSeek-V3
- deepseek-ai/DeepSeek-V3-Base
- DevQuasar/deepseek-ai.DeepSeek-V3-Base-GGUF
- meta-llama/Llama-3.3-70B-Instruct
new_version: meta-llama/Llama-3.3-70B-Instruct
pipeline_tag: text-generation
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Model Details
### Model Description
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- **Developed by:** [More Information Needed]
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- **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]
### Model Sources [optional]
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## Uses
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### 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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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.
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## Training Details
### Training Data
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### Training Procedure
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#### Preprocessing [optional]
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#### 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]
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## Evaluation
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### Testing Data, Factors & Metrics
#### Testing Data
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#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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#### Metrics
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### Results
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#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
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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](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
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### Compute Infrastructure
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#### Hardware
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#### Software
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## 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:**
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**APA:**
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## Glossary [optional]
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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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