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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
+DarkForestErebusEdition.png filter=lfs diff=lfs merge=lfs -text

DarkForest-v2.0-Erebus-Edition-Q8_K_XL.txt

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+llama-quantize --tensor-type output.weight=Q8_0 --tensor-type token_embd.weight=F16 --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.attn_k.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.attn_k.weight=F16" --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.attn_output.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.attn_output.weight=F16" --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.attn_q.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.attn_q.weight=F16" --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.attn_v.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.attn_v.weight=F16" --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.ffn_down.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.ffn_down.weight=F16" --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.ffn_gate.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.ffn_gate.weight=F16" --tensor-type "blk\.(3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|45|46|47|48|49|50|51|52|53|54|55|56|57|58|59)\.ffn_up.weight=Q8_0" --tensor-type "blk\.(0|1|2|60|61)\.ffn_up.weight=F16" A:\LLM\!Fentible\DarkForest-20B-v2.0-fp32-upscaled-abliterated\DarkForest-20B-v2.0-Erebus-Edition-f16.gguf A:\LLM\!Fentible\DarkForest-20B-v2.0-fp32-upscaled-abliterated\DarkForest-20B-v2.0-Erebus-Edition-Q8_K_XL.gguf Q8_0

config.json

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+{
+  "antemplate": "[Genre: <|>]",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 62,
+  "num_key_value_heads": 40,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.56.1",
+  "use_cache": false,
+  "vocab_size": 32000,
+  "welcome": "## Warning: This model has a very heavy NSFW bias and is not suitable for use by minors!\n\nYou are currently running story-writing model `Erebus, version 3 (LLaMA2 13B).`\n\n This model is made by [Mr. Seeker](https://www.patreon.com/mrseeker) with help of ProudNoob and the KoboldAI team.\n\n### How to use this model\n\nErebus is designed to generate short stories and novels. Use the author's note to give it a certain genre to follow, use memory to give an overview of the story and use World Information to give specific details about the characters. To start off, give the AI an idea of what you are writing about by setting the scene. Give the AI around 10 sentences that make your story interesting to read. Introduce your character, describe the world, blow something up, or let the AI use its creative mind."
+}

fp32_to_fp16.py

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+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import os
+
+# --- YOU MUST UPDATE THESE TWO PATHS ---
+# Path to the directory where your FP32 model is stored locally
+input_dir = "A:\LLM\.cache\huggingface\hub\models--wzhouad--gemma-2-9b-it-WPO-HB"
+
+# Path to the directory where the converted FP16 model will be saved
+output_dir = "A:\LLM\.cache\huggingface\hub\models--wzhouad--gemma-2-9b-it-WPO-HB_FP16"
+# -------------------------------------
+
+# Make sure the output directory exists
+if not os.path.exists(output_dir):
+    os.makedirs(output_dir)
+
+# Load the tokenizer from the local path
+print(f"Loading tokenizer from {input_dir}...")
+tokenizer = AutoTokenizer.from_pretrained(input_dir)
+
+# Load the model in FP32 from the local path
+print(f"Loading FP32 model from {input_dir}...")
+model = AutoModelForCausalLM.from_pretrained(
+    input_dir,
+    torch_dtype=torch.float32,
+    device_map="cpu"
+    # device_map="auto" # use this if you have enough GPU VRAM
+)
+
+# Convert the model to FP16 and save it to the new local directory
+print("Converting model to FP16 and saving to disk...")
+model.half().save_pretrained(
+    output_dir,
+    safe_serialization=True,
+    max_shard_size="5GB"
+)
+tokenizer.save_pretrained(output_dir)
+
+print(f"Model successfully converted and saved to {output_dir}")
+print("You can now use this new FP16 model in your mergekit config.yaml.")

model.safetensors.index.json

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tokenizer_config.json

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