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 ```