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terry69_-_llama3.2_feedback_3b-gguf
RichardErkhov/terry69_-_llama3.2_feedback_3b-gguf
terry69_-_llama3.2_feedback_3b-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.
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.gguf39.5 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 30, 2024
- Updated
- Oct 30, 2024
- SHA
- 37c1ff3d
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
llama3.2_feedback_3b - GGUF
- Model creator: https://huggingface.co/terry69/
- Original model: https://huggingface.co/terry69/llama3.2_feedback_3b/
| Name | Quant method | Size |
|---|---|---|
| llama3.2_feedback_3b.Q2_K.gguf | Q2_K | 1.27GB |
| llama3.2_feedback_3b.Q3_K_S.gguf | Q3_K_S | 1.44GB |
| llama3.2_feedback_3b.Q3_K.gguf | Q3_K | 1.57GB |
| llama3.2_feedback_3b.Q3_K_M.gguf | Q3_K_M | 1.57GB |
| llama3.2_feedback_3b.Q3_K_L.gguf | Q3_K_L | 1.69GB |
| llama3.2_feedback_3b.IQ4_XS.gguf | IQ4_XS | 1.71GB |
| llama3.2_feedback_3b.Q4_0.gguf | Q4_0 | 1.79GB |
| llama3.2_feedback_3b.IQ4_NL.gguf | IQ4_NL | 1.79GB |
| llama3.2_feedback_3b.Q4_K_S.gguf | Q4_K_S | 1.8GB |
| llama3.2_feedback_3b.Q4_K.gguf | Q4_K | 1.88GB |
| llama3.2_feedback_3b.Q4_K_M.gguf | Q4_K_M | 1.88GB |
| llama3.2_feedback_3b.Q4_1.gguf | Q4_1 | 1.95GB |
| llama3.2_feedback_3b.Q5_0.gguf | Q5_0 | 2.11GB |
| llama3.2_feedback_3b.Q5_K_S.gguf | Q5_K_S | 2.11GB |
| llama3.2_feedback_3b.Q5_K.gguf | Q5_K | 2.16GB |
| llama3.2_feedback_3b.Q5_K_M.gguf | Q5_K_M | 2.16GB |
| llama3.2_feedback_3b.Q5_1.gguf | Q5_1 | 2.28GB |
| llama3.2_feedback_3b.Q6_K.gguf | Q6_K | 2.46GB |
| llama3.2_feedback_3b.Q8_0.gguf | Q8_0 | 3.19GB |
Original model description:
library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-3B-Instruct tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer datasets:
- preference-data model-index:
- name: llama3.2_feedback_3b results: []
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
llama3.2_feedback_3b
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the preference-data dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Created
- Oct 30, 2024
- Updated
- Oct 30, 2024