Quant for 3.5

README.md

@@ -10,69 +10,32 @@ language:
   - ru
   - zh
   - ja
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of mini-magnum-12b-v1.1
+![](mini-magnum.png)
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.8">turboderp's ExLlamaV2 v0.1.8</a> for quantization.
+This model is the miniature version of [alpindale/magnum-72b-v1](https://huggingface.co/alpindale/magnum-72b-v1), a second entry in a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. This model is fine-tuned on top of [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407). 
+A new general purpose instruction dataset by kalomaze was added to the training mix for better coherence and general alignment. We are working on improving our dataset and training procedures, so expect new versions to come out soon.
 
-<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.
+## Prompting
+Model has been Instruct tuned with the Mistral formatting. A typical input would look like this:
 
-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/intervitens/mini-magnum-12b-v1.1
-
-
-<a href="https://huggingface.co/bartowski/mini-magnum-12b-v1.1-exl2/tree/8_0">8.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/mini-magnum-12b-v1.1-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/mini-magnum-12b-v1.1-exl2/tree/5_0">5.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/mini-magnum-12b-v1.1-exl2/tree/4_25">4.25 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/mini-magnum-12b-v1.1-exl2/tree/3_5">3.5 bits per weight</a>
-
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/mini-magnum-12b-v1.1-exl2
+```py
+"""[INST] Hi there! [/INST]Nice to meet you!</s>[INST] Can I ask a question? [/INST]
+"""
 ```
 
-With huggingface hub (credit to TheBloke for instructions):
+## Credits
 
-```shell
-pip3 install huggingface-hub
-```
+This model has been a team effort, credits go to:
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `mini-magnum-12b-v1.1-exl2`:
-
-```shell
-mkdir mini-magnum-12b-v1.1-exl2
-huggingface-cli download bartowski/mini-magnum-12b-v1.1-exl2 --local-dir mini-magnum-12b-v1.1-exl2
-```
+- [Sao10K](https://huggingface.co/Sao10K) and [kalomaze](https://huggingface.co/kalomaze) for help with (and cleaning up!) the dataset.
+- [alpindale](https://huggingface.co/alpindale) for the training.
+- Various other people for their continued help as we tuned the parameters, restarted failed runs. In no particular order: [Doctor Shotgun](https://huggingface.co/Doctor-Shotgun), [Lucy](https://huggingface.co/lucyknada), [Nopm](https://huggingface.co/nopm), [Mango](https://huggingface.co/MangoMango69420), [Intervitens](https://huggingface.co/intervitens), and the rest of the Silly Tilly.
 
-To download from a different branch, add the `--revision` parameter:
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
-Linux:
+## Safety
+...
 
-```shell
-mkdir mini-magnum-12b-v1.1-exl2-6_5
-huggingface-cli download bartowski/mini-magnum-12b-v1.1-exl2 --revision 6_5 --local-dir mini-magnum-12b-v1.1-exl2-6_5
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir mini-magnum-12b-v1.1-exl2-6.5
-huggingface-cli download bartowski/mini-magnum-12b-v1.1-exl2 --revision 6_5 --local-dir mini-magnum-12b-v1.1-exl2-6.5
-```

config.json

@@ -0,0 +1,38 @@
+{
+    "_name_or_path": "/mnt/fast-disks/nfs/home/alpin/models/Mistral-Nemo-Base-2407",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 1024000,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 40,
+    "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": "4.43.1",
+    "use_cache": false,
+    "vocab_size": 131073,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.8",
+        "bits": 3.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.1"
+}

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