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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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

Peganum.json

@@ -0,0 +1,97 @@
+{
+    "temp": 0.75,
+    "temperature_last": true,
+    "top_p": 1,
+    "top_k": 0,
+    "top_a": 0,
+    "tfs": 0.99,
+    "epsilon_cutoff": 0,
+    "eta_cutoff": 0,
+    "typical_p": 1,
+    "min_p": 0.02,
+    "rep_pen": 1.04,
+    "rep_pen_range": 0,
+    "rep_pen_decay": 0,
+    "rep_pen_slope": 1,
+    "no_repeat_ngram_size": 0,
+    "penalty_alpha": 0,
+    "num_beams": 1,
+    "length_penalty": 1,
+    "min_length": 0,
+    "encoder_rep_pen": 1,
+    "freq_pen": 0,
+    "presence_pen": 0,
+    "skew": 0,
+    "do_sample": true,
+    "early_stopping": false,
+    "dynatemp": false,
+    "min_temp": 1,
+    "max_temp": 1.5,
+    "dynatemp_exponent": 1,
+    "smoothing_factor": 0.3,
+    "smoothing_curve": 1,
+    "dry_allowed_length": 2,
+    "dry_multiplier": 0.55,
+    "dry_base": 1.75,
+    "dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\",\"{{char}}\",\"{{user}}\"]",
+    "dry_penalty_last_n": 0,
+    "add_bos_token": true,
+    "ban_eos_token": false,
+    "skip_special_tokens": true,
+    "mirostat_mode": 0,
+    "mirostat_tau": 5,
+    "mirostat_eta": 0.1,
+    "guidance_scale": 1,
+    "negative_prompt": "",
+    "grammar_string": "",
+    "json_schema": {},
+    "banned_tokens": "",
+    "sampler_priority": [
+        "repetition_penalty",
+        "presence_penalty",
+        "frequency_penalty",
+        "dry",
+        "temperature",
+        "dynamic_temperature",
+        "quadratic_sampling",
+        "min_p",
+        "top_k",
+        "top_p",
+        "typical_p",
+        "epsilon_cutoff",
+        "eta_cutoff",
+        "tfs",
+        "top_a",
+        "mirostat",
+        "xtc",
+        "encoder_repetition_penalty",
+        "no_repeat_ngram"
+    ],
+    "samplers": [
+        "top_k",
+        "tfs_z",
+        "typical_p",
+        "top_p",
+        "min_p",
+        "xtc",
+        "temperature"
+    ],
+    "ignore_eos_token": false,
+    "spaces_between_special_tokens": false,
+    "speculative_ngram": false,
+    "sampler_order": [
+        6,
+        5,
+        2,
+        0,
+        1,
+        3,
+        4
+    ],
+    "logit_bias": [],
+    "xtc_threshold": 0.1,
+    "xtc_probability": 0,
+    "rep_pen_size": 0,
+    "genamt": 350,
+    "max_length": 28672
+}

README.md

@@ -0,0 +1,113 @@
+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
+- unsloth/Qwen2.5-32B-Instruct
+- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
+- unsloth/Qwen2.5-32B
+- ParasiticRogue/EVA-Instruct-32B-v2
+---
+***
+## Peganum
+
+Many thanks to the authors of the models used!
+
+[Qwen2.5](https://huggingface.co/Qwen/Qwen2.5-32B) | [Qwen2.5-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) | [Qwen-2.5-Instruct-abliterated](https://huggingface.co/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2) | [RPMax-v1.3-32B](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3) | [EVA-Instruct-32B-v2](https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-v2)([EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)+
+[Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B))
+***
+
+### Overview
+
+Main uses: RP
+
+Prompt format: ChatML
+
+Just trying out merging Qwen, because why not. Slightly fewer refusals than other Qwen tunes, while performance seems unaffected by abliteration.  I've hardly used Q2.5 models before, so I can't really compare them beyond that. 
+
+***
+
+### Quants
+
+[GGUF](https://huggingface.co/bartowski/Qwen2.5-32B-Peganum-v0.1-GGUF)
+
+***
+
+### Settings
+
+Samplers: https://huggingface.co/Nohobby/Qwen2.5-32B-Peganum-v0.1/resolve/main/Peganum.json
+
+You can also use the SillyTavern presets listed on the [EVA-v0.2 model card](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
+
+***
+
+## Merge Details
+### Merging steps
+
+## Step1 
+(Config taken from [here](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-OVA-8B))
+
+```yaml
+base_model: zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+slices:
+- sources:
+  - layer_range: [0, 64]
+    model: zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
+  - layer_range: [0, 64]
+    model: unsloth/Qwen2.5-32B-Instruct
+    parameters:
+      weight: -1.0
+```
+
+## Step2
+(Config taken from [here](https://huggingface.co/Pyroserenus/Orthrus-12b-v0.8))
+
+```yaml
+models:
+  - model: unsloth/Qwen2.5-32B
+  - model: Step1
+    parameters:
+      weight: [0.50, 0.20]
+      density: [0.75, 0.55]
+  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
+    parameters:
+      weight: [0.50, 0.80]
+      density: [0.75, 0.85]
+merge_method: ties
+base_model: unsloth/Qwen2.5-32B
+parameters:
+  int8_mask: true
+  rescale: true
+  normalize: false
+dtype: bfloat16
+```
+
+## Peganum
+(Config taken from [here](https://huggingface.co/sophosympatheia/Evathene-v1.0))
+
+```yaml
+models:
+  - model: Step2
+    parameters:
+      weight: 1
+      density: 1
+  - model: ParasiticRogue/EVA-Instruct-32B-v2
+    parameters:
+      weight: [0.0, 0.2, 0.66, 0.8, 1.0, 0.8, 0.66, 0.2, 0.0]
+      density: 0.5
+merge_method: ties
+base_model: unsloth/Qwen2.5-32B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```

added_tokens.json

@@ -0,0 +1,25 @@
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+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
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+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
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+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

@@ -0,0 +1,40 @@
+{
+    "_name_or_path": "unsloth/Qwen2.5-32B",
+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": 151643,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 27648,
+    "max_position_embeddings": 131072,
+    "max_window_layers": 64,
+    "model_type": "qwen2",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 64,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.46.3",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 152064,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 4.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

huggingface-metadata.txt

@@ -0,0 +1,19 @@
+url: https://huggingface.co/Nohobby/Qwen2.5-32B-Peganum-v0.1
+branch: main
+download date: 2024-12-09 17:37:20
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model.safetensors.index.json

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