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Quantization made by Richard Erkhov. |
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[Github](https://github.com/RichardErkhov) |
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[Discord](https://discord.gg/pvy7H8DZMG) |
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[Request more models](https://github.com/RichardErkhov/quant_request) |
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Meta-Llama-3-8B-InitializedEmbeds - GGUF |
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- Model creator: https://huggingface.co/chargoddard/ |
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- Original model: https://huggingface.co/chargoddard/Meta-Llama-3-8B-InitializedEmbeds/ |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q2_K.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q2_K.gguf) | Q2_K | 2.96GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.IQ3_XS.gguf) | IQ3_XS | 3.28GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.IQ3_S.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.IQ3_S.gguf) | IQ3_S | 3.43GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q3_K_S.gguf) | Q3_K_S | 3.41GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.IQ3_M.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.IQ3_M.gguf) | IQ3_M | 3.52GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q3_K.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q3_K.gguf) | Q3_K | 3.74GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q3_K_M.gguf) | Q3_K_M | 3.74GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q3_K_L.gguf) | Q3_K_L | 4.03GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.IQ4_XS.gguf) | IQ4_XS | 4.18GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q4_0.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q4_0.gguf) | Q4_0 | 4.34GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.IQ4_NL.gguf) | IQ4_NL | 4.38GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q4_K_S.gguf) | Q4_K_S | 4.37GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q4_K.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q4_K.gguf) | Q4_K | 4.58GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q4_K_M.gguf) | Q4_K_M | 4.58GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q4_1.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q4_1.gguf) | Q4_1 | 4.78GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q5_0.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q5_0.gguf) | Q5_0 | 5.21GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q5_K_S.gguf) | Q5_K_S | 5.21GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q5_K.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q5_K.gguf) | Q5_K | 5.34GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q5_K_M.gguf) | Q5_K_M | 5.34GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q5_1.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q5_1.gguf) | Q5_1 | 5.65GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q6_K.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q6_K.gguf) | Q6_K | 6.14GB | |
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| [Meta-Llama-3-8B-InitializedEmbeds.Q8_0.gguf](https://huggingface.co/RichardErkhov/chargoddard_-_Meta-Llama-3-8B-InitializedEmbeds-gguf/blob/main/Meta-Llama-3-8B-InitializedEmbeds.Q8_0.gguf) | Q8_0 | 7.95GB | |
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Original model description: |
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--- |
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base_model: |
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- NousResearch/Meta-Llama-3-8B-Instruct |
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- NousResearch/Meta-Llama-3-8B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# Meta-Llama-3-8B-InitializedEmbeds |
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This is just [Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) with the embeddings for special tokens copied from the Instruct version. Should behave pretty much identically to the base model, but with less glossolalia when it encounters `<|start_header_id|>` and the like. |
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I'm using this as a base to fine tune. Having these embeddings reasonable instead of randomly initialized should give a smoother start. |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) |
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* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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merge_method: linear |
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dtype: float32 |
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out_dtype: bfloat16 |
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models: |
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- model: NousResearch/Meta-Llama-3-8B |
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parameters: |
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weight: 1.0 |
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- model: NousResearch/Meta-Llama-3-8B-Instruct |
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parameters: |
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weight: 0.0 |
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tokenizer: |
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source: NousResearch/Meta-Llama-3-8B-Instruct |
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tokens: |
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<|start_header_id|>: |
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source: NousResearch/Meta-Llama-3-8B-Instruct |
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force: true |
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<|end_header_id|>: |
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source: NousResearch/Meta-Llama-3-8B-Instruct |
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force: true |
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<|eot_id|>: |
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source: NousResearch/Meta-Llama-3-8B-Instruct |
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force: true |
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<|end_of_text|>: |
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source: NousResearch/Meta-Llama-3-8B-Instruct |
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force: true |
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<|begin_of_text|>: |
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source: NousResearch/Meta-Llama-3-8B-Instruct |
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force: true |
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``` |
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