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utter-project_-_EuroLLM-1.7B-Instruct-gguf
RichardErkhov/utter-project_-_EuroLLM-1.7B-Instruct-gguf
utter-project_-_EuroLLM-1.7B-Instruct-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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.gguf23 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024
- SHA
- ef165ee4
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
EuroLLM-1.7B-Instruct - GGUF
- Model creator: https://huggingface.co/utter-project/
- Original model: https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct/
| Name | Quant method | Size |
|---|---|---|
| EuroLLM-1.7B-Instruct.Q2_K.gguf | Q2_K | 0.67GB |
| EuroLLM-1.7B-Instruct.IQ3_XS.gguf | IQ3_XS | 0.74GB |
| EuroLLM-1.7B-Instruct.IQ3_S.gguf | IQ3_S | 0.76GB |
| EuroLLM-1.7B-Instruct.Q3_K_S.gguf | Q3_K_S | 0.76GB |
| EuroLLM-1.7B-Instruct.IQ3_M.gguf | IQ3_M | 0.78GB |
| EuroLLM-1.7B-Instruct.Q3_K.gguf | Q3_K | 0.82GB |
| EuroLLM-1.7B-Instruct.Q3_K_M.gguf | Q3_K_M | 0.82GB |
| EuroLLM-1.7B-Instruct.Q3_K_L.gguf | Q3_K_L | 0.86GB |
| EuroLLM-1.7B-Instruct.IQ4_XS.gguf | IQ4_XS | 0.9GB |
| EuroLLM-1.7B-Instruct.Q4_0.gguf | Q4_0 | 0.93GB |
| EuroLLM-1.7B-Instruct.IQ4_NL.gguf | IQ4_NL | 0.94GB |
| EuroLLM-1.7B-Instruct.Q4_K_S.gguf | Q4_K_S | 0.94GB |
| EuroLLM-1.7B-Instruct.Q4_K.gguf | Q4_K | 0.97GB |
| EuroLLM-1.7B-Instruct.Q4_K_M.gguf | Q4_K_M | 0.97GB |
| EuroLLM-1.7B-Instruct.Q4_1.gguf | Q4_1 | 1.02GB |
| EuroLLM-1.7B-Instruct.Q5_0.gguf | Q5_0 | 1.1GB |
| EuroLLM-1.7B-Instruct.Q5_K_S.gguf | Q5_K_S | 1.1GB |
| EuroLLM-1.7B-Instruct.Q5_K.gguf | Q5_K | 1.12GB |
| EuroLLM-1.7B-Instruct.Q5_K_M.gguf | Q5_K_M | 1.12GB |
| EuroLLM-1.7B-Instruct.Q5_1.gguf | Q5_1 | 1.18GB |
| EuroLLM-1.7B-Instruct.Q6_K.gguf | Q6_K | 1.27GB |
| EuroLLM-1.7B-Instruct.Q8_0.gguf | Q8_0 | 1.64GB |
Original model description:
library_name: transformers base_model: Unbabel/EuroLLM-1B-annealed-fw tags:
- generated_from_trainer model-index:
- name: experiments/EuroLLM/EuroLLM-1B-annealed-fw-euroblocks-v0.1 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. -->
experiments/EuroLLM/EuroLLM-1B-annealed-fw-euroblocks-v0.1
This model is a fine-tuned version of Unbabel/EuroLLM-1B-annealed-fw on the None 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: 7e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 24
- total_train_batch_size: 96
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 4
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024