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Quantization made by Richard Erkhov.
UnFimbulvetr-20B - GGUF
- Model creator: https://huggingface.co/KaraKaraWitch/
- Original model: https://huggingface.co/KaraKaraWitch/UnFimbulvetr-20B/
Name | Quant method | Size |
---|---|---|
UnFimbulvetr-20B.Q2_K.gguf | Q2_K | 6.87GB |
UnFimbulvetr-20B.Q3_K_S.gguf | Q3_K_S | 8.01GB |
UnFimbulvetr-20B.Q3_K.gguf | Q3_K | 8.93GB |
UnFimbulvetr-20B.Q3_K_M.gguf | Q3_K_M | 8.93GB |
UnFimbulvetr-20B.Q3_K_L.gguf | Q3_K_L | 9.73GB |
UnFimbulvetr-20B.IQ4_XS.gguf | IQ4_XS | 10.03GB |
UnFimbulvetr-20B.Q4_0.gguf | Q4_0 | 10.46GB |
UnFimbulvetr-20B.IQ4_NL.gguf | IQ4_NL | 10.57GB |
UnFimbulvetr-20B.Q4_K_S.gguf | Q4_K_S | 10.53GB |
UnFimbulvetr-20B.Q4_K.gguf | Q4_K | 11.14GB |
UnFimbulvetr-20B.Q4_K_M.gguf | Q4_K_M | 11.14GB |
UnFimbulvetr-20B.Q4_1.gguf | Q4_1 | 11.61GB |
UnFimbulvetr-20B.Q5_0.gguf | Q5_0 | 12.76GB |
UnFimbulvetr-20B.Q5_K_S.gguf | Q5_K_S | 12.76GB |
UnFimbulvetr-20B.Q5_K.gguf | Q5_K | 13.11GB |
UnFimbulvetr-20B.Q5_K_M.gguf | Q5_K_M | 13.11GB |
UnFimbulvetr-20B.Q5_1.gguf | Q5_1 | 13.91GB |
UnFimbulvetr-20B.Q6_K.gguf | Q6_K | 15.2GB |
UnFimbulvetr-20B.Q8_0.gguf | Q8_0 | 19.69GB |
Original model description:
base_model: ["Sao10K/Fimbulvetr-11B-v2"] library_name: transformers tags:
- mergekit
- merge
UnFimbulvetr-20B
Waifu to catch your attention
This is a merge of pre-trained language models created using mergekit.
NOTE: Only tested this just for a bit. YMMV.
Next Day Tests...
Downloaded the GGUF model that someone quantized... And... nope. No.
Do not use model.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
- Sao10K/Fimbulvetr-11B-v2
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: FimbMagic
layer_range: [0, 13]
- sources:
- model: FimbMagic
layer_range: [8, 13]
- sources:
- model: FimbMagic
layer_range: [12, 36]
- sources:
- model: FimbMagic
layer_range: [12, 36]
- sources:
- model: FimbMagic
layer_range: [36, 48]
- sources:
- model: FimbMagic
layer_range: [36, 48]
merge_method: passthrough
dtype: bfloat16
Additional Notes
Fimbulvetr 11B is still a very good model. This model is for extreme trailblazers who wants to test stuff!
Eval results? Don't bother.
Last one before I sleep: I'm so sorry Sao10K...
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