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Model: DevQuasar/coma-7B-v0.1
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+base_model:
+- meta-llama/Llama-2-7b-hf
+- meta-llama/CodeLlama-7b-hf
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama2
+model-index:
+- name: coma-7B-v0.1
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: lm-evaluation-harness
+      name: bbh
+    metrics:
+    - name: acc_norm
+      type: acc_norm
+      value: 0.3355
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: lm-evaluation-harness
+      name: gpqa
+    metrics:
+    - name: acc_norm
+      type: acc_norm
+      value: 0.2587
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: lm-evaluation-harness
+      name: math
+    metrics:
+    - name: exact_match
+      type: exact_match
+      value: 0.0104
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: lm-evaluation-harness
+      name: mmlu
+    metrics:
+    - name: acc_norm
+      type: acc_norm
+      value: 0.1433
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: lm-evaluation-harness
+      name: musr
+    metrics:
+    - name: acc_norm
+      type: acc_norm
+      value: 0.3844
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: lm-evaluation-harness
+      name: hellaswag
+    metrics:
+    - name: acc
+      type: acc
+      value: 0.5182234614618602
+      verified: false
+    - name: acc_norm
+      type: acc_norm
+      value: 0.6834295956980682
+      verified: false
+---
+[<img src="https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png" width="200"/>](https://devquasar.com)
+
+'Make knowledge free for everyone'
+
+<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
+
+
+
+# coma-7B-v0.1
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e6d37e02dee9bcb9d9fa18/pqU17tDiX2XyUXc_yA8b0.png)
+
+CodeLlama + Llama = CoMa :)
+This is an experiment to try merged models
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+Quantized version: [DevQuasar/coma-7B-v0.1-GGUF](https://huggingface.co/DevQuasar/coma-7B-v0.1-GGUF)
+## Merge Details
+### Merge Method
+
+This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
+
+### Models Merged
+"Blast from the Past" :D
+The following models were included in the merge:
+* [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
+* [meta-llama/CodeLlama-7b-hf](https://huggingface.co/meta-llama/CodeLlama-7b-hf)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: meta-llama/Llama-2-7b-hf
+    parameters:
+      weight: 1.0
+  - model: meta-llama/CodeLlama-7b-hf
+    parameters:
+      weight: 0.5
+merge_method: linear
+dtype: float16
+
+```
+
+
+I'm doing this to 'Make knowledge free for everyone', using my personal time and resources.
+
+If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar 
+
+Also feel free to visit my website https://devquasar.com/

config.json

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+{
+  "_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "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": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

mergekit_config.yml

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+models:
+  - model: meta-llama/Llama-2-7b-hf
+    parameters:
+      weight: 1.0
+  - model: meta-llama/CodeLlama-7b-hf
+    parameters:
+      weight: 0.5
+merge_method: linear
+dtype: float16

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