Quant for 8.0

README.md

@@ -1,63 +1,33 @@
 ---
 pipeline_tag: text-generation
 license: other
-quantized_by: bartowski
 ---
+# InternLM 
 
-Update Jan 27: This has been redone with the proper token mappings and rope scaling, performance seems improved, please comment if not
+<div align="center">
 
-## Exllama v2 Quantizations of internlm2-chat-20b-llama-test
+<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
+  <div>&nbsp;</div>
+  <div align="center">
+    <b><font size="5">InternLM</font></b>
+    <sup>
+      <a href="https://internlm.intern-ai.org.cn/">
+        <i><font size="4">HOT</font></i>
+      </a>
+    </sup>
+    <div>&nbsp;</div>
+  </div>
+  
+[![evaluation](https://github.com/InternLM/InternLM/assets/22529082/f80a2a58-5ddf-471a-8da4-32ab65c8fd3b)](https://github.com/internLM/OpenCompass/)
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization.
+[💻Github Repo](https://github.com/InternLM/InternLM)
 
-# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+</div>
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
 
-Original model: https://huggingface.co/internlm/internlm2-chat-20b
+## Converted using <a href="https://huggingface.co/chargoddard">Charles Goddard's</a> conversion script to create llama models from internlm
 
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
-| [6_5](https://huggingface.co/Bartowski/internlm2-chat-20b-llama-exl2/tree/6_5)   | 6.5  | 8.0 | 19.6 GB | 21.0 GB | 23.0 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
-| [4_25](https://huggingface.co/Bartowski/internlm2-chat-20b-llama-exl2/tree/4_25) | 4.25 | 6.0 | 13.8 GB | 15.2 GB | 17.2 GB | GPTQ equivalent bits per weight, slightly higher quality.                   |
-| [3_5](https://huggingface.co/Bartowski/internlm2-chat-20b-llama-exl2/tree/3_5)   | 3.5  | 6.0 | 12.4 GB | 13.8 GB | 15.8 GB | Lower quality, only use if you have to.                                     |
-| [3_0](https://huggingface.co/Bartowski/internlm2-chat-20b-llama-exl2/tree/3_0)   | 3.0  | 6.0 | 11.1 GB | 12.5 GB | 15.5 GB | Very low quality. Usable on 12GB. |
+Original REPO link: https://huggingface.co/internlm/internlm2-chat-20b
 
-## Download instructions
+ExLlamaV2 quants: https://huggingface.co/bartowski/internlm2-chat-20b-llama-exl2
 
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/internlm2-chat-20b-llama-exl2 internlm2-chat-20b-llama-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 `internlm2-chat-20b-llama-exl2`:
-
-```shell
-mkdir internlm2-chat-20b-llama-exl2
-huggingface-cli download bartowski/internlm2-chat-20b-llama-exl2 --local-dir internlm2-chat-20b-llama-exl2 --local-dir-use-symlinks False
-```
-
-To download from a different branch, add the `--revision` parameter:
-
-Linux:
-
-```shell
-mkdir internlm2-chat-20b-llama-exl2-6_5
-huggingface-cli download bartowski/internlm2-chat-20b-llama-exl2 --revision 6_5 --local-dir internlm2-chat-20b-llama-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir internlm2-chat-20b-llama-exl2-6.5
-huggingface-cli download bartowski/internlm2-chat-20b-llama-exl2 --revision 6_5 --local-dir internlm2-chat-20b-llama-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 +1,31 @@
+{
+  "_name_or_path": "/models/internlm2-chat-20b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attn_implementation": "eager",
+  "bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 3.0,
+    "type": "dynamic"
+  },
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 92544
+}

model.safetensors.index.json

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