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Tensoic_-_Gemma-2B-Samvaad-gguf
RichardErkhov/Tensoic_-_Gemma-2B-Samvaad-gguf
Tensoic_-_Gemma-2B-Samvaad-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
- Jun 29, 2024
- Updated
- Jun 29, 2024
- SHA
- 91562a3a
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Gemma-2B-Samvaad - GGUF
- Model creator: https://huggingface.co/Tensoic/
- Original model: https://huggingface.co/Tensoic/Gemma-2B-Samvaad/
| Name | Quant method | Size |
|---|---|---|
| Gemma-2B-Samvaad.Q2_K.gguf | Q2_K | 1.08GB |
| Gemma-2B-Samvaad.IQ3_XS.gguf | IQ3_XS | 1.16GB |
| Gemma-2B-Samvaad.IQ3_S.gguf | IQ3_S | 1.2GB |
| Gemma-2B-Samvaad.Q3_K_S.gguf | Q3_K_S | 1.2GB |
| Gemma-2B-Samvaad.IQ3_M.gguf | IQ3_M | 1.22GB |
| Gemma-2B-Samvaad.Q3_K.gguf | Q3_K | 1.29GB |
| Gemma-2B-Samvaad.Q3_K_M.gguf | Q3_K_M | 1.29GB |
| Gemma-2B-Samvaad.Q3_K_L.gguf | Q3_K_L | 1.36GB |
| Gemma-2B-Samvaad.IQ4_XS.gguf | IQ4_XS | 1.4GB |
| Gemma-2B-Samvaad.Q4_0.gguf | Q4_0 | 1.44GB |
| Gemma-2B-Samvaad.IQ4_NL.gguf | IQ4_NL | 1.45GB |
| Gemma-2B-Samvaad.Q4_K_S.gguf | Q4_K_S | 1.45GB |
| Gemma-2B-Samvaad.Q4_K.gguf | Q4_K | 1.52GB |
| Gemma-2B-Samvaad.Q4_K_M.gguf | Q4_K_M | 1.52GB |
| Gemma-2B-Samvaad.Q4_1.gguf | Q4_1 | 1.56GB |
| Gemma-2B-Samvaad.Q5_0.gguf | Q5_0 | 1.68GB |
| Gemma-2B-Samvaad.Q5_K_S.gguf | Q5_K_S | 1.68GB |
| Gemma-2B-Samvaad.Q5_K.gguf | Q5_K | 1.71GB |
| Gemma-2B-Samvaad.Q5_K_M.gguf | Q5_K_M | 1.71GB |
| Gemma-2B-Samvaad.Q5_1.gguf | Q5_1 | 1.79GB |
| Gemma-2B-Samvaad.Q6_K.gguf | Q6_K | 1.92GB |
| Gemma-2B-Samvaad.Q8_0.gguf | Q8_0 | 2.49GB |
Original model description:
license: other tags:
- full datasets:
- sarvamai/samvaad-hi-v1 license_name: gemma-terms-of-use license_link: https://ai.google.dev/gemma/terms base_model: google/gemma-2b model-index:
- name: Gemma-2B 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. -->
Gemma-2B-Samvaad
This model is a fine-tuned version of google/gemma-2b on the samvaad-hi-v1 dataset.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.55 |
| AI2 Reasoning Challenge (25-Shot) | 46.59 |
| HellaSwag (10-Shot) | 68.17 |
| MMLU (5-Shot) | 33.09 |
| TruthfulQA (0-shot) | 39.95 |
| Winogrande (5-shot) | 61.64 |
| GSM8k (5-shot) | 5.84 |
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Created
- Jun 29, 2024
- Updated
- Jun 29, 2024