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Model: RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf Source: Original Platform
2026-04-21 17:55:36 +08:00
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--- a/README.md
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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+llama3-1_8b_oh_v3.1_wo_share_gpt - GGUF
+- Model creator: https://huggingface.co/mlfoundations-dev/
+- Original model: https://huggingface.co/mlfoundations-dev/llama3-1_8b_oh_v3.1_wo_share_gpt/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q2_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q2_K.gguf) | Q2_K | 2.96GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.IQ3_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.IQ3_S.gguf) | IQ3_S | 3.43GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.IQ3_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.IQ3_M.gguf) | IQ3_M | 3.52GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K.gguf) | Q3_K | 3.74GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_0.gguf) | Q4_0 | 4.34GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_K.gguf) | Q4_K | 4.58GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_1.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q4_1.gguf) | Q4_1 | 4.78GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_0.gguf) | Q5_0 | 5.21GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_K.gguf) | Q5_K | 5.34GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_1.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q5_1.gguf) | Q5_1 | 5.65GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q6_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q6_K.gguf) | Q6_K | 6.14GB |
+| [llama3-1_8b_oh_v3.1_wo_share_gpt.Q8_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_share_gpt-gguf/blob/main/llama3-1_8b_oh_v3.1_wo_share_gpt.Q8_0.gguf) | Q8_0 | 7.95GB |
+
+
+
+
+Original model description:
+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: llama3-1_8b_oh_v3.1_wo_share_gpt
+  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. -->
+
+# llama3-1_8b_oh_v3.1_wo_share_gpt
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh_v3.1_wo_share_gpt dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6453
+
+## 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: 5e-06
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- total_train_batch_size: 512
+- total_eval_batch_size: 256
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 1738
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6517        | 1.0   | 422  | 0.6541          |
+| 0.6045        | 2.0   | 844  | 0.6440          |
+| 0.5731        | 3.0   | 1266 | 0.6453          |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.4.0
+- Datasets 3.0.2
+- Tokenizers 0.20.3
+
+
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