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README.md

@@ -1,23 +1,54 @@
 ---
+base_model:
+- Qwen/Qwen2.5-Coder-7B-Instruct
+- Qwen/Qwen2.5-7B-Instruct
+- Qwen/Qwen2.5-Math-7B-Instruct
+- KeefeBuild/Keefe-Discere
+library_name: transformers
 tags:
-- gguf
-- llama.cpp
-- unsloth
+- mergekit
+- merge
 
 ---
+# merged_3way_out
 
-# Keefe-Discere : GGUF
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
+## Merge Details
+### Merge Method
 
-**Example usage**:
-- For text only LLMs:    `llama-cli -hf KeefeBuild/Keefe-Discere --jinja`
-- For multimodal models: `llama-mtmd-cli -hf KeefeBuild/Keefe-Discere --jinja`
+This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.
 
-## Available Model files:
-- `Qwen2.5-7B-Instruct.Q4_K_M.gguf`
+### Models Merged
 
-## Ollama
-An Ollama Modelfile is included for easy deployment.
-This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+The following models were included in the merge:
+* [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
+* [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct)
+* [KeefeBuild/Keefe-Discere](https://huggingface.co/KeefeBuild/Keefe-Discere)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+models:
+  - model: KeefeBuild/Keefe-Discere
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: Qwen/Qwen2.5-Coder-7B-Instruct
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: Qwen/Qwen2.5-Math-7B-Instruct
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: Qwen/Qwen2.5-7B-Instruct
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```

config.json

@@ -3,8 +3,8 @@
     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
-  "bos_token_id": null,
-  "dtype": "float16",
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
   "eos_token_id": 151645,
   "hidden_act": "silu",
   "hidden_size": 3584,
@@ -46,7 +46,7 @@
   "num_attention_heads": 28,
   "num_hidden_layers": 28,
   "num_key_value_heads": 4,
-  "pad_token_id": 151654,
+  "pad_token_id": null,
   "rms_norm_eps": 1e-06,
   "rope_parameters": {
     "rope_theta": 1000000.0,
@@ -54,9 +54,7 @@
   },
   "sliding_window": null,
   "tie_word_embeddings": false,
-  "transformers_version": "5.5.0",
-  "unsloth_fixed": true,
-  "unsloth_version": "2026.8.8",
+  "transformers_version": "5.0.0",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 152064

generation_config.json

@@ -1,14 +1,14 @@
 {
+  "bos_token_id": 151643,
+  "pad_token_id": 151643,
   "do_sample": true,
   "eos_token_id": [
     151645,
     151643
   ],
-  "max_length": 32768,
-  "pad_token_id": 151654,
   "repetition_penalty": 1.05,
   "temperature": 0.7,
-  "top_k": 20,
   "top_p": 0.8,
-  "transformers_version": "5.5.0"
+  "top_k": 20,
+  "transformers_version": "4.37.0"
 }

mergekit_config.yml

@@ -0,0 +1,19 @@
+
+models:
+  - model: KeefeBuild/Keefe-Discere
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: Qwen/Qwen2.5-Coder-7B-Instruct
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: Qwen/Qwen2.5-Math-7B-Instruct
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: Qwen/Qwen2.5-7B-Instruct
+parameters:
+  int8_mask: true
+dtype: bfloat16

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tokenizer.json

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tokenizer_config.json

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+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}