Quant for 3.5

README.md

@@ -1,47 +1,21 @@
 ---
-language:
-- en
-pipeline_tag: text-generation
-inference: false
-arxiv: 2307.09288
-tags:
-- facebook
-- meta
-- pytorch
-- llama
-- llama-2
-- gguf
-- function-calling
-- function calling
 quantized_by: bartowski
 ---
 
-## Exllama v2 Quantizations of Llama-2-7b-chat-hf-function-calling-v3
+# Exllama v2 Quantizations of Llama-2-7b-chat-hf-function-calling-v3 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.
 
-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/Trelis/Llama-2-7b-chat-hf-function-calling-v3
- 
-<a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/4_0">4.0 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/5_0">5.0 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/6_5">6.5 bits per weight</a>
- 
-<a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/8_0">8.0 bits per weight</a>
 
 ## Download instructions
 
 With git:
 
 ```shell
-git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2
+git clone --single-branch --branch 3.5 https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2
 ```
 
 With huggingface hub (credit to TheBloke for instructions):
@@ -50,16 +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 `Llama-2-7b-chat-hf-function-calling-v3-exl2`:
-
-```shell
-mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
-huggingface-cli download bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir-use-symlinks False
-```
-
 To download from a different branch, add the `--revision` parameter:
 
 ```shell
 mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
-huggingface-cli download bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2 --revision 4_0 --local-dir Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir-use-symlinks False
+huggingface-cli download bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2 --revision 3_5 --local-dir Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir-use-symlinks False
 ```

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.35.2"
+}

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