Upload model

README.md

@@ -4,18 +4,6 @@ library_name: peft
 ## Training procedure
 
 
-The following `bitsandbytes` quantization config was used during training:
-- quant_method: bitsandbytes
-- load_in_8bit: False
-- load_in_4bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-- llm_int8_has_fp16_weight: False
-- bnb_4bit_quant_type: nf4
-- bnb_4bit_use_double_quant: True
-- bnb_4bit_compute_dtype: bfloat16
-
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
 - load_in_8bit: False
@@ -29,6 +17,5 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_compute_dtype: bfloat16
 ### Framework versions
 
-- PEFT 0.5.0
 
 - PEFT 0.5.0

adapter_config.json

@@ -1,6 +1,6 @@
 {
   "auto_mapping": null,
-  "base_model_name_or_path": "h2oai/h2ogpt-16k-codellama-7b",
+  "base_model_name_or_path": "h2oai/h2ogpt-4096-llama2-7b-chat",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d1182f3517985b701fe2e9446ffac4e9a90f7fa36a80b6ee86a39951c5f1a654
+oid sha256:3ccc882fdda085137a3d4fc9edaf5c557b8bfe56de2f232d48132fbc7108cf2f
 size 16822989