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RichardErkhov/v000000_-_MN-12B-Estrella-v2.2-gguf
v000000_-_MN-12B-Estrella-v2.2-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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From the Hugging Face model README
Quantization made by Richard Erkhov.
MN-12B-Estrella-v2.2 - GGUF
| Name | Quant method | Size |
|---|---|---|
| MN-12B-Estrella-v2.2.Q2_K.gguf | Q2_K | 4.46GB |
| MN-12B-Estrella-v2.2.IQ3_XS.gguf | IQ3_XS | 4.94GB |
| MN-12B-Estrella-v2.2.IQ3_S.gguf | IQ3_S | 5.18GB |
| MN-12B-Estrella-v2.2.Q3_K_S.gguf | Q3_K_S | 5.15GB |
| MN-12B-Estrella-v2.2.IQ3_M.gguf | IQ3_M | 5.33GB |
| MN-12B-Estrella-v2.2.Q3_K.gguf | Q3_K | 5.67GB |
| MN-12B-Estrella-v2.2.Q3_K_M.gguf | Q3_K_M | 5.67GB |
| MN-12B-Estrella-v2.2.Q3_K_L.gguf | Q3_K_L | 6.11GB |
| MN-12B-Estrella-v2.2.IQ4_XS.gguf | IQ4_XS | 6.33GB |
| MN-12B-Estrella-v2.2.Q4_0.gguf | Q4_0 | 6.59GB |
| MN-12B-Estrella-v2.2.IQ4_NL.gguf | IQ4_NL | 6.65GB |
| MN-12B-Estrella-v2.2.Q4_K_S.gguf | Q4_K_S | 6.63GB |
| MN-12B-Estrella-v2.2.Q4_K.gguf | Q4_K | 6.96GB |
| MN-12B-Estrella-v2.2.Q4_K_M.gguf | Q4_K_M | 6.96GB |
| MN-12B-Estrella-v2.2.Q4_1.gguf | Q4_1 | 7.26GB |
| MN-12B-Estrella-v2.2.Q5_0.gguf | Q5_0 | 7.93GB |
| MN-12B-Estrella-v2.2.Q5_K_S.gguf | Q5_K_S | 7.93GB |
| MN-12B-Estrella-v2.2.Q5_K.gguf | Q5_K | 8.13GB |
| MN-12B-Estrella-v2.2.Q5_K_M.gguf | Q5_K_M | 8.13GB |
| MN-12B-Estrella-v2.2.Q5_1.gguf | Q5_1 | 8.61GB |
| MN-12B-Estrella-v2.2.Q6_K.gguf | Q6_K | 9.37GB |
| MN-12B-Estrella-v2.2.Q8_0.gguf | Q8_0 | 12.13GB |
base_model:
[!WARNING] Temperature:<br> Mistral Nemo likes low temperature between 0.3-0.6

<b>Prompt Format: Seems best with "Mistral Instruct" but ChatML might also work.</b>
[INST] System Message [/INST]
[INST] Name: Let's get started. Please respond based on the information and instructions provided above. [/INST]
<s>[INST] Name: What is your favourite condiment? [/INST]
AssistantName: Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s>
[INST] Name: Do you have mayonnaise recipes? [/INST]
This is a merge of pre-trained language models created using mergekit.
This model was merged using the della_linear merge method using anthracite-org/magnum-v2.5-12b-kto as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: v000000/MN-12B-Estrella-v1
parameters:
weight: 0.25
density: 0.84
- model: elinas/Chronos-Gold-12B-1.0
parameters:
weight: 0.4
density: 0.88
- model: TheDrummer/Rocinante-12B-v1.1
parameters:
weight: 0.6
density: 0.9
merge_method: della_linear
base_model: anthracite-org/magnum-v2.5-12b-kto
parameters:
int8_mask: true
epsilon: 0.07
lambda: 1
dtype: bfloat16