Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 - FP8
 ---
 
-# Qwen3-32B-FP8-dynamic
+# Qwen3-32B-FP8-Dynamic
 
 ## Model Overview
 - **Model Architecture:** Qwen3ForCausalLM
@@ -30,7 +30,7 @@ tags:
 - **Out-of-scope:** Use in any manner that violates applicable laws or regulations (including trade compliance laws).
 - **Release Date:** 05/02/2025
 - **Version:** 1.0
-- **Model Developers:** RedHat (Neural Magic)
+- **Model Developers:** BC Card, Redhat
 
 ### Model Optimizations
 
@@ -51,7 +51,7 @@ This model can be deployed efficiently using the [vLLM](https://docs.vllm.ai/en/
 from vllm import LLM, SamplingParams
 from transformers import AutoTokenizer
 
-model_id = "RedHatAI/Qwen3-32B-FP8-dynamic"
+model_id = "BCCard/Qwen3-32B-FP8-dynamic"
 number_gpus = 1
 sampling_params = SamplingParams(temperature=0.6, top_p=0.95, top_k=20, min_p=0, max_tokens=256)
 
@@ -128,7 +128,7 @@ The model was evaluated on the OpenLLM leaderboard tasks (version 1), using [lm-
   ```
   lm_eval \
     --model vllm \
-    --model_args pretrained="RedHatAI/Qwen3-32B-FP8-dynamic",dtype=auto,gpu_memory_utilization=0.5,max_model_len=8192,enable_chunk_prefill=True,tensor_parallel_size=1 \
+    --model_args pretrained="BCCard/Qwen3-32B-FP8-dynamic",dtype=auto,gpu_memory_utilization=0.5,max_model_len=8192,enable_chunk_prefill=True,tensor_parallel_size=1 \
     --tasks openllm \
     --apply_chat_template\
     --fewshot_as_multiturn \