Quant for 3.5

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+quant/kunocchini-7b-128k-test.IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -8,63 +8,52 @@ tags:
 - merge
 - alpaca
 - mistral
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
+Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
 
-## Exllama v2 Quantizations of Kunocchini-7b-128k-test
+Id like to also thank @kalomaze for the dope sampler additions to ST. 
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
+@SanjiWatsuki Thank you very much for the help, and the model!
 
-# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+ST users can find the TextGenPreset in the folder labeled so.
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/9obNSalcJqCilQwr_4ssM.jpeg)
 
-Original model: https://huggingface.co/Test157t/Kunocchini-7b-128k-test
+Quants: Thank You @s3nh! https://huggingface.co/s3nh/Kunocchini-7b-128k-test-GGUF and @bartowski https://huggingface.co/bartowski/Kunocchini-exl2
+# mergedmodel
 
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/Bartowski/Kunocchini-7b-128k-test-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/Kunocchini-7b-128k-test-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/Kunocchini-7b-128k-test-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/Kunocchini-7b-128k-test-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/Kunocchini-7b-128k-test-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. |
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-## Download instructions
+## Merge Details
+### Merge Method
 
-With git:
+This model was merged using the SLERP merge method.
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Kunocchini-7b-128k-test-exl2 Kunocchini-7b-128k-test-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 `Kunocchini-7b-128k-test-exl2`:
+### Models Merged
 
-```shell
-mkdir Kunocchini-7b-128k-test-exl2
-huggingface-cli download bartowski/Kunocchini-7b-128k-test-exl2 --local-dir Kunocchini-7b-128k-test-exl2 --local-dir-use-symlinks False
-```
+The following models were included in the merge:
+* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
+* [Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context](https://huggingface.co/Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context)
 
-To download from a different branch, add the `--revision` parameter:
+### Configuration
 
-Linux:
+The following YAML configuration was used to produce this model:
 
-```shell
-mkdir Kunocchini-7b-128k-test-exl2-6_5
-huggingface-cli download bartowski/Kunocchini-7b-128k-test-exl2 --revision 6_5 --local-dir Kunocchini-7b-128k-test-exl2-6_5 --local-dir-use-symlinks False
+```yaml
+slices:
+  - sources:
+      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+        layer_range: [0, 32]
+      - model: Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
 ```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir Kunocchini-7b-128k-test-exl2-6.5
-huggingface-cli download bartowski/Kunocchini-7b-128k-test-exl2 --revision 6_5 --local-dir Kunocchini-7b-128k-test-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": "Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context",
+  "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": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,16 @@
+slices:
+  - sources:
+      - model: Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
+        layer_range: [0, 32]
+      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

model.safetensors.index.json

@@ -0,0 +1 @@
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