bartowski commited on
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Quant for 3.5

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README.md CHANGED
@@ -1,47 +1,21 @@
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  ---
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- language:
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- - en
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- pipeline_tag: text-generation
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- inference: false
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- arxiv: 2307.09288
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- tags:
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- - facebook
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- - meta
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- - pytorch
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- - llama
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- - llama-2
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- - gguf
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- - function-calling
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- - function calling
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  quantized_by: bartowski
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  ---
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- ## Exllama v2 Quantizations of Llama-2-7b-chat-hf-function-calling-v3
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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-
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  Conversion was done using the default calibration dataset.
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- 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.
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-
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  Original model: https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3
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-
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- <a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/4_0">4.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/5_0">5.0 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/6_5">6.5 bits per weight</a>
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-
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- <a href="https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2/tree/8_0">8.0 bits per weight</a>
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  ## Download instructions
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  With git:
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  ```shell
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- git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
@@ -50,16 +24,9 @@ With huggingface hub (credit to TheBloke for instructions):
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  pip3 install huggingface-hub
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  ```
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- 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`:
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-
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- ```shell
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- mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
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- 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
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- ```
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-
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
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  mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
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- 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
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  ```
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  quantized_by: bartowski
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  ---
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+ # Exllama v2 Quantizations of Llama-2-7b-chat-hf-function-calling-v3 at 3.5 bits per weight
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  Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
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  Conversion was done using the default calibration dataset.
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  Original model: https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3
 
 
 
 
 
 
 
 
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  ## Download instructions
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  With git:
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  ```shell
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+ git clone --single-branch --branch 3.5 https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2
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  ```
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  With huggingface hub (credit to TheBloke for instructions):
 
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  pip3 install huggingface-hub
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  ```
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  To download from a different branch, add the `--revision` parameter:
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  ```shell
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  mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
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+ 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
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  ```
config.json ADDED
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+ {
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+ "_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "attention_bias": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 1,
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+ "transformers_version": "4.35.2"
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+ }
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