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RichardErkhov/AmeerH_-_FPT-Base-gguf
AmeerH_-_FPT-Base-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
28
7% of all-time downloads
All-time downloads
401
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21.5 GB
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.gguf25.1 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
FPT-Base - GGUF
| Name | Quant method | Size |
|---|---|---|
| FPT-Base.Q2_K.gguf | Q2_K | 0.84GB |
| FPT-Base.IQ3_XS.gguf | IQ3_XS | 0.84GB |
| FPT-Base.IQ3_S.gguf | IQ3_S | 0.84GB |
| FPT-Base.Q3_K_S.gguf | Q3_K_S | 0.84GB |
| FPT-Base.IQ3_M.gguf | IQ3_M | 0.91GB |
| FPT-Base.Q3_K.gguf | Q3_K | 0.97GB |
| FPT-Base.Q3_K_M.gguf | Q3_K_M | 0.97GB |
| FPT-Base.Q3_K_L.gguf | Q3_K_L | 1.03GB |
| FPT-Base.IQ4_XS.gguf | IQ4_XS | 0.9GB |
| FPT-Base.Q4_0.gguf | Q4_0 | 0.91GB |
| FPT-Base.IQ4_NL.gguf | IQ4_NL | 0.91GB |
| FPT-Base.Q4_K_S.gguf | Q4_K_S | 1.04GB |
| FPT-Base.Q4_K.gguf | Q4_K | 1.11GB |
| FPT-Base.Q4_K_M.gguf | Q4_K_M | 1.11GB |
| FPT-Base.Q4_1.gguf | Q4_1 | 1.0GB |
| FPT-Base.Q5_0.gguf | Q5_0 | 1.09GB |
| FPT-Base.Q5_K_S.gguf | Q5_K_S | 1.15GB |
| FPT-Base.Q5_K.gguf | Q5_K | 1.29GB |
| FPT-Base.Q5_K_M.gguf | Q5_K_M | 1.29GB |
| FPT-Base.Q5_1.gguf | Q5_1 | 1.18GB |
| FPT-Base.Q6_K.gguf | Q6_K | 1.52GB |
| FPT-Base.Q8_0.gguf | Q8_0 | 1.63GB |
library_name: transformers license: mit datasets:
This is a GPT-2 model trained for 330K steps from scratch (of 1M batch size) on FineWeb-EDU i.e around 300B Tokens.
This is the model card of a 🤗 transformers model that has been pushed on the Hub..
Developed by: Ameer H Shared by [optional]: Ameer H Model type: GPT2 Language(s) (NLP): English License: MIT
Will produce blabbers and unintended slurs racial or anything. Do not blame this is just an experiment.
Forked from Andrej Karparthy's original model.