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Model: tannedbum/L3-Nymeria-Maid-8B
Source: Original Platform

.gitattributes

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Nymeria.png

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README.md

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+---
+base_model:
+- princeton-nlp/Llama-3-Instruct-8B-SimPO
+- Sao10K/L3-8B-Stheno-v3.2
+library_name: transformers
+tags:
+- mergekit
+- merge
+- roleplay
+- sillytavern
+- llama3
+- not-for-all-audiences
+license: cc-by-nc-4.0
+language:
+- en
+---
+![Nymeria](https://huggingface.co/tannedbum/L3-Nymeria-Maid-8B-exl2/resolve/main/Nymeria.png?)
+
+## This version is solely for scientific purposes, of course.
+
+Nymeria is the balanced version, doesn't force nsfw. Nymeria-Maid has more Stheno's weights, leans more on nsfw and is more submissive.
+
+
+## SillyTavern
+
+## Text Completion presets
+```
+temp 0.9
+top_k 30
+top_p 0.75
+min_p 0.2
+rep_pen 1.1
+smooth_factor 0.25
+smooth_curve 1
+```
+## Advanced Formatting
+
+[Context & Instruct preset by Virt-io](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v1.9)
+
+ Instruct Mode: Enabled
+
+
+
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+This model was merged using the slerp merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
+* [princeton-nlp/Llama-3-Instruct-8B-SimPO](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+slices:
+  - sources:
+      - model: Sao10K/L3-8B-Stheno-v3.2
+        layer_range: [0, 32]
+      - model: princeton-nlp/Llama-3-Instruct-8B-SimPO
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Sao10K/L3-8B-Stheno-v3.2
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.2, 0.4, 0.4, 0.6]
+    - filter: mlp
+      value: [0.8, 0.6, 0.6, 0.4]
+    - value: 0.4
+dtype: bfloat16
+
+
+```
+
+---
+
+## Original model information:
+
+## Model: Sao10K/L3-8B-Stheno-v3.2
+
+Stheno-v3.2-Zeta
+
+
+Changes compared to v3.1
+<br>\- Included a mix of SFW and NSFW Storywriting Data, thanks to [Gryphe](https://huggingface.co/datasets/Gryphe/Opus-WritingPrompts)
+<br>\- Included More Instruct / Assistant-Style Data
+<br>\- Further cleaned up Roleplaying Samples from c2 Logs -> A few terrible, really bad samples escaped heavy filtering. Manual pass fixed it.
+<br>\- Hyperparameter tinkering for training, resulting in lower loss levels.
+
+
+Testing Notes - Compared to v3.1
+<br>\- Handles SFW / NSFW seperately better. Not as overly excessive with NSFW now. Kinda balanced.
+<br>\- Better at Storywriting / Narration.
+<br>\- Better at Assistant-type Tasks.
+<br>\- Better Multi-Turn Coherency -> Reduced Issues?
+<br>\- Slightly less creative? A worthy tradeoff. Still creative.
+<br>\- Better prompt / instruction adherence.
+
+---
+
+Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum

config.json

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+{
+  "_name_or_path": "Sao10K/L3-8B-Stheno-v3.2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: Sao10K/L3-8B-Stheno-v3.2
+        layer_range: [0, 32]
+      - model: princeton-nlp/Llama-3-Instruct-8B-SimPO
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Sao10K/L3-8B-Stheno-v3.2
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.2, 0.4, 0.4, 0.6]
+    - filter: mlp
+      value: [0.8, 0.6, 0.6, 0.4]
+    - value: 0.4
+dtype: bfloat16
+
+
+

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}