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.gitattributes

@@ -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
+SnowLotusLogo.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,51 @@
 ---
 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. 
+
+GGUF (Small selection of Imatrix and regular k-quants): https://huggingface.co/BlueNipples/DaringLotus-SnowLotus-10.7b-IQ-GGUF
+EXL2: https://huggingface.co/zaq-hack/SnowLotus-v2-10.7B-bpw500-h6-exl2
+
+### Recipe
+
+So, the recipe. I added solardoc by Nyx to frostwind at a 0.15 weight, and the gradient SLERP'd Frostwind (+solardoc) into Frostmaid with these params:
+
+- filter: self_attn
+      value: [0.9, 0.4, 0.1, 0, 0]
+    - filter: mlp
+      value: [0.05, 0.95]
+    - value: 0.45
+
+
+### Format Notes
+
+Solar is desgined for 4k context, but Nyx reports that his merge works to 8k. Given this has a slerp gradient back into that, I'm not sure which applies here. Alpaca instruct formatting.
+
+### Tentative Dozen or So Test Conclusion
+
+This model seems to have better prose, less GPT-ish language and no degredation in coherency from the last version whilst retaining coherency from FrostWind (plus medical lora). I'm very pleased with this now, it's exactly what I wanted, basically Nyx's Frostmaid but smarter.
+
+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://huggingface.co/NyxKrage/Solar-Doc-10.7B-Lora
+
+https://github.com/cg123/mergekit/tree/main

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": ".\\FrostMed",
+  "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

@@ -0,0 +1,13 @@
+models:
+   - model: .\FrostMed
+   - model: .\Frostmaid
+merge_method: slerp
+base_model: .\FrostMed
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.9, 0.4, 0.1, 0, 0]
+    - filter: mlp
+      value: [0.05, 0.95]
+    - value: 0.45 # fallback for rest of tensors
+dtype: float16

model.safetensors.index.json

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