Quant for 8.0

README.md

@@ -5,65 +5,9 @@ language:
 - en
 tags:
 - code
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of Code-290k-6.7B-Instruct
+**Code-290k-6.7B-Instruct**
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
-
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
-
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
-
-Original model: https://huggingface.co/ajibawa-2023/Code-290k-6.7B-Instruct
-
-No GQA - VRAM requirements will be higher
-
-| Branch                                                         | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
-| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
-| [8_0](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2/tree/8_0) | 8.0 | 8.0 | 9.4 GB | 15.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2/tree/6_5) | 6.5  | 8.0 | 8.6 GB | 14.8 GB | Near unquantized performance at vastly reduced size, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2/tree/5_0) | 5.0  | 6.0 | 7.2 GB | 13.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
-| [4_25](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2/tree/4_25) | 4.25 | 6.0 | 6.5 GB | 12.7 GB | GPTQ equivalent bits per weight. |
-| [3_5](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2/tree/3_5) | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2 Code-290k-6.7B-Instruct-exl2-6_5
-```
-
-With huggingface hub (credit to TheBloke for instructions):
-
-```shell
-pip3 install huggingface-hub
-```
-
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Code-290k-6.7B-Instruct-exl2`:
-
-```shell
-mkdir Code-290k-6.7B-Instruct-exl2
-huggingface-cli download bartowski/Code-290k-6.7B-Instruct-exl2 --local-dir Code-290k-6.7B-Instruct-exl2 --local-dir-use-symlinks False
-```
-
-To download from a different branch, add the `--revision` parameter:
-
-Linux:
-
-```shell
-mkdir Code-290k-6.7B-Instruct-exl2-6_5
-huggingface-cli download bartowski/Code-290k-6.7B-Instruct-exl2 --revision 6_5 --local-dir Code-290k-6.7B-Instruct-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir Code-290k-6.7B-Instruct-exl2-6.5
-huggingface-cli download bartowski/Code-290k-6.7B-Instruct-exl2 --revision 6_5 --local-dir Code-290k-6.7B-Instruct-exl2-6.5 --local-dir-use-symlinks False
-```
-
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
+This model is trained on DeepSeek-Coder-6.7B-Instruct. 
+More details coming soon!

config.json

@@ -0,0 +1,31 @@
+{
+  "_name_or_path": "/home/mla100wus/Downloads/deepseek-coder-6.7b-instruct/",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 32013,
+  "eos_token_id": 32021,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "factor": 4.0,
+    "type": "linear"
+  },
+  "rope_theta": 100000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32256
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 32013,
+  "eos_token_id": 32021,
+  "transformers_version": "4.37.2"
+}

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original_repo_url.txt

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output.safetensors

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