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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)
+
+
+Meta-Llama-3-8B-InitializedEmbeds - GGUF
+- Model creator: https://huggingface.co/chargoddard/
+- Original model: https://huggingface.co/chargoddard/Meta-Llama-3-8B-InitializedEmbeds/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+
+
+
+
+Original model description:
+---
+base_model:
+- NousResearch/Meta-Llama-3-8B-Instruct
+- NousResearch/Meta-Llama-3-8B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Meta-Llama-3-8B-InitializedEmbeds
+
+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.
+
+I'm using this as a base to fine tune. Having these embeddings reasonable instead of randomly initialized should give a smoother start.
+
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: linear
+dtype: float32
+out_dtype: bfloat16
+models:
+  - model: NousResearch/Meta-Llama-3-8B
+    parameters:
+      weight: 1.0
+  - model: NousResearch/Meta-Llama-3-8B-Instruct
+    parameters:
+      weight: 0.0
+tokenizer:
+  source: NousResearch/Meta-Llama-3-8B-Instruct
+  tokens:
+    <|start_header_id|>:
+      source: NousResearch/Meta-Llama-3-8B-Instruct
+      force: true
+    <|end_header_id|>:
+      source: NousResearch/Meta-Llama-3-8B-Instruct
+      force: true
+    <|eot_id|>:
+      source: NousResearch/Meta-Llama-3-8B-Instruct
+      force: true
+    <|end_of_text|>:
+      source: NousResearch/Meta-Llama-3-8B-Instruct
+      force: true
+    <|begin_of_text|>:
+      source: NousResearch/Meta-Llama-3-8B-Instruct
+      force: true
+```
+
+