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setfunctionenvironment_-_NeMoria-21b-base-gguf
RichardErkhov/setfunctionenvironment_-_NeMoria-21b-base-gguf
setfunctionenvironment_-_NeMoria-21b-base-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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.gguf270 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 20, 2024
- Updated
- Oct 21, 2024
- SHA
- 346198c3
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
NeMoria-21b-base - GGUF
- Model creator: https://huggingface.co/setfunctionenvironment/
- Original model: https://huggingface.co/setfunctionenvironment/NeMoria-21b-base/
| Name | Quant method | Size |
|---|---|---|
| NeMoria-21b-base.Q2_K.gguf | Q2_K | 7.26GB |
| NeMoria-21b-base.IQ3_XS.gguf | IQ3_XS | 8.05GB |
| NeMoria-21b-base.IQ3_S.gguf | IQ3_S | 8.47GB |
| NeMoria-21b-base.Q3_K_S.gguf | Q3_K_S | 8.43GB |
| NeMoria-21b-base.IQ3_M.gguf | IQ3_M | 8.73GB |
| NeMoria-21b-base.Q3_K.gguf | Q3_K | 9.33GB |
| NeMoria-21b-base.Q3_K_M.gguf | Q3_K_M | 9.33GB |
| NeMoria-21b-base.Q3_K_L.gguf | Q3_K_L | 10.1GB |
| NeMoria-21b-base.IQ4_XS.gguf | IQ4_XS | 10.44GB |
| NeMoria-21b-base.Q4_0.gguf | Q4_0 | 10.87GB |
| NeMoria-21b-base.IQ4_NL.gguf | IQ4_NL | 10.98GB |
| NeMoria-21b-base.Q4_K_S.gguf | Q4_K_S | 10.94GB |
| NeMoria-21b-base.Q4_K.gguf | Q4_K | 11.51GB |
| NeMoria-21b-base.Q4_K_M.gguf | Q4_K_M | 11.51GB |
| NeMoria-21b-base.Q4_1.gguf | Q4_1 | 12.02GB |
| NeMoria-21b-base.Q5_0.gguf | Q5_0 | 13.17GB |
| NeMoria-21b-base.Q5_K_S.gguf | Q5_K_S | 13.17GB |
| NeMoria-21b-base.Q5_K.gguf | Q5_K | 13.5GB |
| NeMoria-21b-base.Q5_K_M.gguf | Q5_K_M | 13.5GB |
| NeMoria-21b-base.Q5_1.gguf | Q5_1 | 14.32GB |
| NeMoria-21b-base.Q6_K.gguf | Q6_K | 15.62GB |
| NeMoria-21b-base.Q8_0.gguf | Q8_0 | 20.22GB |
Original model description:
base_model:
- unsloth/Mistral-Nemo-Base-2407 library_name: transformers tags:
- mergekit
- merge
credits 2 https://huggingface.co/TheSkullery/NeMoria-21b smae thing but just base
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 30]
model: unsloth/Mistral-Nemo-Base-2407
- sources:
- layer_range: [16, 32]
model: unsloth/Mistral-Nemo-Base-2407
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- layer_range: [16, 32]
model: unsloth/Mistral-Nemo-Base-2407
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- layer_range: [32, 40]
model: unsloth/Mistral-Nemo-Base-2407
- Created
- Oct 20, 2024
- Updated
- Oct 21, 2024