Quant for 5.0

README.md

@@ -10,63 +10,21 @@ datasets:
 - ResplendentAI/Synthetic_Soul_1k
 language:
 - en
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
+# Flora
 
-## Exllama v2 Quantizations of Flora_7B
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/QnP0CnXCA9pTocetkrJht.jpeg)
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
+### Configuration
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+The following YAML configuration was used to produce this model:
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+```yaml
+merge_method: linear
+models:
+  - model: jeiku/FloraBase+jeiku/Synthetic_Soul_1k_Mistral_128
+    parameters:
+      weight: 1       
+dtype: float16
 
-Original model: https://huggingface.co/ResplendentAI/Flora_7B/
-
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/Flora_7B-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/Flora_7B-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/Flora_7B-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/Flora_7B-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/Flora_7B-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Flora_7B-exl2 Flora_7B-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 `Flora_7B-exl2`:
-
-```shell
-mkdir Flora_7B-exl2
-huggingface-cli download bartowski/Flora_7B-exl2 --local-dir Flora_7B-exl2 --local-dir-use-symlinks False
-```
-
-To download from a different branch, add the `--revision` parameter:
-
-Linux:
-
-```shell
-mkdir Flora_7B-exl2-6_5
-huggingface-cli download bartowski/Flora_7B-exl2 --revision 6_5 --local-dir Flora_7B-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir Flora_7B-exl2-6.5
-huggingface-cli download bartowski/Flora_7B-exl2 --revision 6_5 --local-dir Flora_7B-exl2-6.5 --local-dir-use-symlinks False
-```
-
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
+```

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "jeiku/FloraBase",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,6 @@
+merge_method: linear
+models:
+  - model: jeiku/FloraBase+jeiku/Synthetic_Soul_1k_Mistral_128
+    parameters:
+      weight: 1       
+dtype: float16

model.safetensors.index.json

@@ -0,0 +1 @@
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