Quant for 6.5

README.md

@@ -5,69 +5,55 @@ license_name: deepseek
 license_link: https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/LICENSE-MODEL
 tags:
 - merge
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
+Everyone-Coder-33b-v2-Base
 
-## Exllama v2 Quantizations of Everyone-Coder-33b-v2-Base
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/ECrHQnZnv8UM9GUCQtlWW.jpeg)
 
-## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+EveryoneLLM series of models made by the community, for the community. This is a coding specific model made using fine-tunes of deekseekcoder-33b-base.
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+This Version 2 of the Everything-Coder-33b model uses the task_arithmetic merging method which has major increases in coding performance as opposed to the ties method. You should find this version having much better coding performance than Version 1, without any of the negative that merging has on the integrity of the model.
 
-Conversion was done using the default calibration dataset.
-
-Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
-
-Original model: https://huggingface.co/rombodawg/Everyone-Coder-33b-v2-Base
-
-
-<a href="https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2/tree/4_25">4.25 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2/tree/3_5">3.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2/tree/3_0">3.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2/tree/2_4">2.4 bits per weight</a>
-
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2
+Prompt template: Alpaca
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+### Instruction:
+{prompt}
+### Response:
 ```
 
-With huggingface hub (credit to TheBloke for instructions):
+The models that were used in this merger were as follow:
 
-```shell
-pip3 install huggingface-hub
-```
+- https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Everyone-Coder-33b-v2-Base-exl2`:
+- https://huggingface.co/codefuse-ai/CodeFuse-DeepSeek-33B
 
-```shell
-mkdir Everyone-Coder-33b-v2-Base-exl2
-huggingface-cli download bartowski/Everyone-Coder-33b-v2-Base-exl2 --local-dir Everyone-Coder-33b-v2-Base-exl2 --local-dir-use-symlinks False
-```
+- https://huggingface.co/WizardLM/WizardCoder-33B-V1.1
 
-To download from a different branch, add the `--revision` parameter:
+Thank you to the creators of the above ai models, they have full credit for the EveryoneLLM series of models. Without their hard work we wouldnt be able to achieve the great success we have in the open source community. 💗
 
-Linux:
+You can find the write up for merging models here:
 
-```shell
-mkdir Everyone-Coder-33b-v2-Base-exl2-6_5
-huggingface-cli download bartowski/Everyone-Coder-33b-v2-Base-exl2 --revision 6_5 --local-dir Everyone-Coder-33b-v2-Base-exl2-6_5 --local-dir-use-symlinks False
-```
+https://docs.google.com/document/d/1_vOftBnrk9NRk5h10UqrfJ5CDih9KBKL61yvrZtVWPE/edit?usp=sharing
 
-Windows (which apparently doesn't like _ in folders sometimes?):
+Config for the merger can be found bellow:
+```yaml
+models:
+  - model: codefuse-ai_CodeFuse-DeepSeek-33B
+    parameters:
+      weight: 1
+  - model: deepseek-ai_deepseek-coder-33b-instruct
+    parameters:
+      weight: 1
+  - model: WizardLM_WizardCoder-33B-V1.1
+    parameters:
+      weight: 1
+merge_method: task_arithmetic
+base_model: deepseek-ai_deepseek-coder-33b-base
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+```
 
-```shell
-mkdir Everyone-Coder-33b-v2-Base-exl2-6.5
-huggingface-cli download bartowski/Everyone-Coder-33b-v2-Base-exl2 --revision 6_5 --local-dir Everyone-Coder-33b-v2-Base-exl2-6.5 --local-dir-use-symlinks False
-```

config.json

@@ -0,0 +1,31 @@
+{
+  "_name_or_path": "Everyone-Coder-33b-v2-Base",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 32013,
+  "eos_token_id": 32014,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 19200,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 62,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "factor": 4.0,
+    "type": "linear"
+  },
+  "rope_theta": 100000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32256
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 32013,
+  "eos_token_id": 32014,
+  "transformers_version": "4.34.0"
+}

model.safetensors.index.json

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