Quant for 3.5

README.md

@@ -1,37 +1,21 @@
 ---
-license: apache-2.0
-tags:
-- moe
 quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of Beyonder-4x7B-v2
+# Exllama v2 Quantizations of Beyonder-4x7B-v2 at 3.5 bits per weight
 
 Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
 
-## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
-
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
-
 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/mlabonne/Beyonder-4x7B-v2
- 
-<a href="https://huggingface.co/bartowski/Beyonder-4x7B-v2-exl2/tree/3_75">3.75 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Beyonder-4x7B-v2-exl2/tree/4_5">4.5 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Beyonder-4x7B-v2-exl2/tree/6_5">6.5 bits per weight</a>
 
 ## Download instructions
 
 With git:
 
 ```shell
-git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/Beyonder-4x7B-v2-exl2
+git clone --single-branch --branch 3.5 https://huggingface.co/bartowski/Beyonder-4x7B-v2-exl2
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -40,16 +24,9 @@ With huggingface hub (credit to TheBloke for instructions):
 pip3 install huggingface-hub
 ```
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Beyonder-4x7B-v2-exl2`:
-
-```shell
-mkdir Beyonder-4x7B-v2-exl2
-huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --local-dir Beyonder-4x7B-v2-exl2 --local-dir-use-symlinks False
-```
-
 To download from a different branch, add the `--revision` parameter:
 
 ```shell
 mkdir Beyonder-4x7B-v2-exl2
-huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --revision 4_0 --local-dir Beyonder-4x7B-v2-exl2 --local-dir-use-symlinks False
+huggingface-cli download bartowski/Beyonder-4x7B-v2-exl2 --revision 3_5 --local-dir Beyonder-4x7B-v2-exl2 --local-dir-use-symlinks False
 ```

config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "mlabonne/Marcoro14-7B-slerp",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "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": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors.index.json

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