MN-Tiramisu-12B
This is a really yappity-yappy yapping model that's good for long-form RP. Tried to rein it in with Mahou and give it some more character understanding with Pantheon. Feedback is always welcome.
Native Context Length: 16K/16384 (can be extended using RoPE, YMMV)
Prompt Template: ChatML
<|im_start|>system
{system prompt}<|im_end|>
<|im_start|>user
{message}<|im_end|>
<|im_start|>assistant
{response}
Recommended Settings:
Here are some settings ranges that tend to work for me. They aren't strict values, and there's a bit of leeway in them. Feel free to experiment a bit!
- Temperature: 1.0 (maybe less, a little bit goes a long way with Nemo)
- Min-P: 0.1 to 0.2
- (all other samplers disabled)
Merge Details
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the linear DARE merge method using flammenai/Mahou-1.3-mistral-nemo-12B as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- Sao10K/MN-12B-Lyra-v1
- Gryphe/Pantheon-RP-1.5-12b-Nemo
- flammenai/Mahou-1.3-mistral-nemo-12B
Configuration
The following YAML configuration was used to produce this model:
base_model: flammenai/Mahou-1.3-mistral-nemo-12B
dtype: bfloat16
merge_method: dare_linear
slices:
- sources:
- layer_range: [0, 40]
model: Gryphe/Pantheon-RP-1.5-12b-Nemo
parameters:
weight: [0.45, 0.35, 0.35, 0.2, 0.2]
- layer_range: [0, 40]
model: Sao10K/MN-12B-Lyra-v1
parameters:
weight: [0.25, 0.3, 0.35, 0.3, 0.2]
- layer_range: [0, 40]
model: nbeerbower/mistral-nemo-gutenberg-12B-v4
parameters:
weight:
- filter: mlp
value: [0.1, 0.2, 0.1, 0.4, 0.5]
- value: [0.1, 0.2, 0.1, 0.2, 0.2]
- layer_range: [0, 40]
model: flammenai/Mahou-1.3-mistral-nemo-12B
parameters:
weight:
- filter: mlp
value: [0.2, 0.15, 0.2, 0.1, 0.1]
- value: [0.2, 0.15, 0.2, 0.3, 0.4]
tokenizer_source: union
Benchmarks (or Benchmark because I tried only one)
I ran EQ bench from EleutherAI's lm-evaluation-harness (thank you @FallenMerick).
| Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
|--------|------:|------|-----:|-----------------|---|-------:|---|-----:|
|eq_bench| 2.1|none | 0|eqbench |↑ | 79.3617|± | 1.637|
| | |none | 0|percent_parseable|↑ |100.0000|± | 0.000|
And as always, have a great day!
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