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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Snow_Lotus_Logo.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,42 @@
+---
+license: apache-2.0
+tags:
+- Roleplay
+- Solar
+- Mistral
+- Text Generation
+---
+![SnowLotus Logo](https://cdn-uploads.huggingface.co/production/uploads/64bb1109aaccfd28b023bcec/gTQtPK46laLIFg0RTAv73.png)
+
+### Premise
+
+So this is a basic slerp merge between a smart model and a good prose model. Prose and smarts. What we all want in an uncensored RP model right? I feel like Solar has untapped potential, in any case. 
+
+Sao10K's Frostwind finetune is a key component of the mixture, its smarts are impressive. NyxKrage's Frostmaid experiment, which merges Frostwind with a frankenmerge of Noromaid and a mystery medical model, delivers quite impressive prose. His model creatively incorporates long-range context and instructions too, despite being slightly incoherent due to the fraken merging. 
+
+So those are the main ingredients. Thanks to Nyx for sorting out the pytorch files btw. 
+
+### Recipe
+
+So, the recipe. I basically just gradient SLERP'd Frostwind into Frostmaid with these params:
+
+- filter: self_attn
+      value: [0.9, 0.6, 0.3, 0, 0]
+    - filter: mlp
+      value: [0.3, 0.6]
+    - value: 0.5 # fallback for rest of tensors
+
+
+### Tentative Dozen or So Test Conclusion
+
+This made a model that was actually pretty much everything I was looking for - NEARLY as smart as Frostwind but with MOST of Frostmaids punchy prose. I tried doing TIES merges and DARE ties merges, but they actually came out worse, because both models have major weaknesses - one is very dry and gpt-ish, the other is a little loose with what's going on. The ties merges tended to bring out those qualities, dare even worse. So I stuck with this. It's not AS smart as Frostwind, so you maybe have to regen a little, but it's pretty smart, and quite creative. A sweet spot hopefully. Maybe someone merge wiser than I can do more with this recipe, but I'm very pleased with it, it did what I was hoping for - a smaller model I can mobile dgpu and produces pretty outsized quality responses (it's fairly zealous tho, be warned). I've only played with it a TINY bit, so there may be qualities or flaws I've missed. 
+
+Cheers to all the finetuners, mergers and developers without which open source models wouldn't be half of what they are. 
+
+Resources used:
+
+https://huggingface.co/NyxKrage/FrostMaid-10.7B-TESTING-pt
+
+https://huggingface.co/Sao10K/Frostwind-10.7B-v1
+
+https://github.com/cg123/mergekit/tree/main

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "./FrostNymph",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: ./FrostNymph
+merge_method: passthrough
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

model.safetensors.index.json

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