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README.md

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+---
+base_model:
+- raidhon/coven_tiny_1.1b_32k_orpo_alpha
+- ShieldX/manovyadh-1.1B-v1-chat
+- TinyLlama/TinyLlama-1.1B-Chat-v1.0
+- AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
+- appvoid/palmer-003
+- vihangd/DopeyTinyLlama-1.1B-v1
+- l3utterfly/tinyllama-1.1b-layla-v4
+- microsoft/rho-math-1b-interpreter-v0.1
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [appvoid/palmer-003](https://huggingface.co/appvoid/palmer-003) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [raidhon/coven_tiny_1.1b_32k_orpo_alpha](https://huggingface.co/raidhon/coven_tiny_1.1b_32k_orpo_alpha)
+* [ShieldX/manovyadh-1.1B-v1-chat](https://huggingface.co/ShieldX/manovyadh-1.1B-v1-chat)
+* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
+* [AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling](https://huggingface.co/AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling)
+* [vihangd/DopeyTinyLlama-1.1B-v1](https://huggingface.co/vihangd/DopeyTinyLlama-1.1B-v1)
+* [l3utterfly/tinyllama-1.1b-layla-v4](https://huggingface.co/l3utterfly/tinyllama-1.1b-layla-v4)
+* [microsoft/rho-math-1b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-1b-interpreter-v0.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: vihangd/DopeyTinyLlama-1.1B-v1
+    parameters:
+      density: 0.25
+      weight: 0.33
+  - model: raidhon/coven_tiny_1.1b_32k_orpo_alpha
+    parameters:
+      density: 0.40
+      weight: 0.50
+  - model: l3utterfly/tinyllama-1.1b-layla-v4
+    parameters:
+      density: 0.28
+      weight: 0.20
+  - model: ShieldX/manovyadh-1.1B-v1-chat
+    parameters:
+      density: 0.33
+      weight: 0.30
+  - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+    parameters:
+      density: 0.30
+      weight: 0.45
+  - model: AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
+    parameters:
+      density: 0.32
+      weight: 0.26
+  - model: microsoft/rho-math-1b-interpreter-v0.1
+    parameters:
+      density: 0.28
+      weight: 0.35
+
+merge_method: task_arithmetic
+base_model: appvoid/palmer-003
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16
+```

config.json

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+{
+  "_name_or_path": "appvoid/palmer-003",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.3",
+  "unsloth_version": "2024.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: vihangd/DopeyTinyLlama-1.1B-v1
+    parameters:
+      density: 0.25
+      weight: 0.33
+  - model: raidhon/coven_tiny_1.1b_32k_orpo_alpha
+    parameters:
+      density: 0.40
+      weight: 0.50
+  - model: l3utterfly/tinyllama-1.1b-layla-v4
+    parameters:
+      density: 0.28
+      weight: 0.20
+  - model: ShieldX/manovyadh-1.1B-v1-chat
+    parameters:
+      density: 0.33
+      weight: 0.30
+  - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+    parameters:
+      density: 0.30
+      weight: 0.45
+  - model: AIGym/TinyLlama-1.1B-2.5T-chat-and-function-calling
+    parameters:
+      density: 0.32
+      weight: 0.26
+  - model: microsoft/rho-math-1b-interpreter-v0.1
+    parameters:
+      density: 0.28
+      weight: 0.35
+
+merge_method: task_arithmetic
+base_model: appvoid/palmer-003
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16

model-00001-of-00002.safetensors

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tokenizer_config.json

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