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mlfoundations-dev_-_test_model_revision-gguf
RichardErkhov/mlfoundations-dev_-_test_model_revision-gguf
mlfoundations-dev_-_test_model_revision-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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At a glance
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- cced425d
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
test_model_revision - GGUF
- Model creator: https://huggingface.co/mlfoundations-dev/
- Original model: https://huggingface.co/mlfoundations-dev/test_model_revision/
| Name | Quant method | Size |
|---|---|---|
| test_model_revision.Q2_K.gguf | Q2_K | 0.0GB |
| test_model_revision.IQ3_XS.gguf | IQ3_XS | 0.0GB |
| test_model_revision.IQ3_S.gguf | IQ3_S | 0.0GB |
| test_model_revision.Q3_K_S.gguf | Q3_K_S | 0.0GB |
| test_model_revision.IQ3_M.gguf | IQ3_M | 0.0GB |
| test_model_revision.Q3_K.gguf | Q3_K | 0.0GB |
| test_model_revision.Q3_K_M.gguf | Q3_K_M | 0.0GB |
| test_model_revision.Q3_K_L.gguf | Q3_K_L | 0.0GB |
| test_model_revision.IQ4_XS.gguf | IQ4_XS | 0.0GB |
| test_model_revision.Q4_0.gguf | Q4_0 | 0.0GB |
| test_model_revision.IQ4_NL.gguf | IQ4_NL | 0.0GB |
| test_model_revision.Q4_K_S.gguf | Q4_K_S | 0.0GB |
| test_model_revision.Q4_K.gguf | Q4_K | 0.0GB |
| test_model_revision.Q4_K_M.gguf | Q4_K_M | 0.0GB |
| test_model_revision.Q4_1.gguf | Q4_1 | 0.0GB |
| test_model_revision.Q5_0.gguf | Q5_0 | 0.0GB |
| test_model_revision.Q5_K_S.gguf | Q5_K_S | 0.0GB |
| test_model_revision.Q5_K.gguf | Q5_K | 0.0GB |
| test_model_revision.Q5_K_M.gguf | Q5_K_M | 0.0GB |
| test_model_revision.Q5_1.gguf | Q5_1 | 0.0GB |
| test_model_revision.Q6_K.gguf | Q6_K | 0.0GB |
| test_model_revision.Q8_0.gguf | Q8_0 | 0.0GB |
Original model description:
library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:
- llama-factory
- full
- generated_from_trainer model-index:
- name: test_model_revision 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. -->
test_model_revision
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the llamafactory/alpaca_en dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0003 | 1 | nan |
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.0+cu124
- Datasets 2.19.2
- Tokenizers 0.20.0
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025