From 1c051f4d7068c99d73908cd5ca9d4370c2bcb256 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 2 Jul 2026 07:30:12 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: RedHatAI/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8 Source: Original Platform --- .gitattributes | 36 ++ README.md | 794 +++++++++++++++++++++++++++++++ config.json | 3 + configuration.json | 1 + generation_config.json | 9 + model-00001-of-00007.safetensors | 3 + model-00002-of-00007.safetensors | 3 + model-00003-of-00007.safetensors | 3 + model-00004-of-00007.safetensors | 3 + model-00005-of-00007.safetensors | 3 + model-00006-of-00007.safetensors | 3 + model-00007-of-00007.safetensors | 3 + model.safetensors.index.json | 3 + recipe.yaml | 21 + special_tokens_map.json | 23 + tokenizer.json | 3 + tokenizer_config.json | 3 + 17 files changed, 917 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00007.safetensors create mode 100644 model-00002-of-00007.safetensors create mode 100644 model-00003-of-00007.safetensors create mode 100644 model-00004-of-00007.safetensors create mode 100644 model-00005-of-00007.safetensors create mode 100644 model-00006-of-00007.safetensors create mode 100644 model-00007-of-00007.safetensors create mode 100644 model.safetensors.index.json create mode 100644 recipe.yaml create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..78f22c8 --- /dev/null +++ b/README.md @@ -0,0 +1,794 @@ +--- +license: mit +tags: +- deepseek +- int8 +- vllm +- llmcompressor +base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B +library_name: transformers +--- + +# DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8 + +## Model Overview +- **Model Architecture:** Qwen2ForCausalLM + - **Input:** Text + - **Output:** Text +- **Model Optimizations:** + - **Weight quantization:** INT8 + - **Activation quantization:** INT8 +- **Release Date:** 2/5/2025 +- **Version:** 1.0 +- **Model Developers:** Neural Magic + +Quantized version of [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B). + + +### Model Optimizations + +This model was obtained by quantizing the weights and activations of [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) to INT8 data type. +This optimization reduces the number of bits used to represent weights and activations from 16 to 8, reducing GPU memory requirements (by approximately 50%) and increasing matrix-multiply compute throughput (by approximately 2x). +Weight quantization also reduces disk size requirements by approximately 50%. + +Only the weights and activations of the linear operators within transformers blocks are quantized. +Weights are quantized using a symmetric per-channel scheme, whereas quantizations are quantized using a symmetric per-token scheme. +The [GPTQ](https://arxiv.org/abs/2210.17323) algorithm is applied for quantization, as implemented in the [llm-compressor](https://github.com/vllm-project/llm-compressor) library. + + +## Use with vLLM + +This model can be deployed efficiently using the [vLLM](https://docs.vllm.ai/en/latest/) backend, as shown in the example below. + +```python +from transformers import AutoTokenizer +from vllm import LLM, SamplingParams + +number_gpus = 1 +model_name = "neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8" + +tokenizer = AutoTokenizer.from_pretrained(model_name) +sampling_params = SamplingParams(temperature=0.6, max_tokens=256, stop_token_ids=[tokenizer.eos_token_id]) +llm = LLM(model=model_name, tensor_parallel_size=number_gpus, trust_remote_code=True) + +messages_list = [ + [{"role": "user", "content": "Who are you? Please respond in pirate speak!"}], +] + +prompt_token_ids = [tokenizer.apply_chat_template(messages, add_generation_prompt=True) for messages in messages_list] + +outputs = llm.generate(prompt_token_ids=prompt_token_ids, sampling_params=sampling_params) + +generated_text = [output.outputs[0].text for output in outputs] +print(generated_text) +``` + +vLLM also supports OpenAI-compatible serving. See the [documentation](https://docs.vllm.ai/en/latest/) for more details. + +## Creation + +This model was created with [llm-compressor](https://github.com/vllm-project/llm-compressor) by running the code snippet below. + + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +from llmcompressor.modifiers.quantization import QuantizationModifier +from llmcompressor.modifiers.smoothquant import SmoothQuantModifier +from llmcompressor.transformers import oneshot + +# Load model +model_stub = "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B" +model_name = model_stub.split("/")[-1] + +num_samples = 1024 +max_seq_len = 8192 + +tokenizer = AutoTokenizer.from_pretrained(model_stub) + +model = AutoModelForCausalLM.from_pretrained( + model_stub, + device_map="auto", + torch_dtype="auto", +) + +def preprocess_fn(example): + return {"text": tokenizer.apply_chat_template(example["messages"], add_generation_prompt=False, tokenize=False)} + +ds = load_dataset("neuralmagic/LLM_compression_calibration", split="train") +ds = ds.map(preprocess_fn) + +# Configure the quantization algorithm and scheme +recipe = [ + SmoothQuantModifier(smoothing_strength=0.8), + QuantizationModifier( + targets="Linear", + scheme="W8A8", + ignore=["lm_head"], + dampening_frac=0.01, + ), +] + +# Apply quantization +oneshot( + model=model, + dataset=ds, + recipe=recipe, + max_seq_length=max_seq_len, + num_calibration_samples=num_samples, +) + +# Save to disk in compressed-tensors format +save_path = model_name + "-quantized.w8a8 +model.save_pretrained(save_path) +tokenizer.save_pretrained(save_path) +print(f"Model and tokenizer saved to: {save_path}") +``` + +## Evaluation + +The model was evaluated on OpenLLM Leaderboard [V1](https://huggingface.co/spaces/open-llm-leaderboard-old/open_llm_leaderboard) and [V2](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/), using the following commands: + +OpenLLM Leaderboard V1: +``` +lm_eval \ + --model vllm \ + --model_args pretrained="neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8",dtype=auto,max_model_len=4096,tensor_parallel_size=1,enable_chunked_prefill=True \ + --tasks openllm \ + --write_out \ + --batch_size auto \ + --output_path output_dir \ + --show_config +``` + +OpenLLM Leaderboard V2: +``` +lm_eval \ + --model vllm \ + --model_args pretrained="neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8",dtype=auto,max_model_len=4096,tensor_parallel_size=1,enable_chunked_prefill=True \ + --apply_chat_template \ + --fewshot_as_multiturn \ + --tasks leaderboard \ + --write_out \ + --batch_size auto \ + --output_path output_dir \ + --show_config +``` + +### Accuracy + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
CategoryMetricdeepseek-ai/DeepSeek-R1-Distill-Qwen-32Bneuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8Recovery
ReasoningAIME 2024 (pass@1)69.7568.1797.73%
MATH-500 (pass@1)95.0994.9899.88%
GPQA Diamond (pass@1)64.0564.75101.09%
Average Score76.375.9799.57%
OpenLLM V1ARC-Challenge (Acc-Norm, 25-shot)64.5964.0899.2%
GSM8K (Strict-Match, 5-shot)82.7183.85101.4%
HellaSwag (Acc-Norm, 10-shot)83.8083.6699.8%
MMLU (Acc, 5-shot)81.1280.9499.8%
TruthfulQA (MC2, 0-shot)58.4158.47100.1%
Winogrande (Acc, 5-shot)76.4076.0199.5%
Average Score74.5174.50100.0%
OpenLLM V2IFEval (Inst Level Strict Acc, 0-shot)42.8741.9297.8%
BBH (Acc-Norm, 3-shot)57.9658.20100.4%
Math-Hard (Exact-Match, 4-shot)0.000.00---
GPQA (Acc-Norm, 0-shot)26.9528.80106.9%
MUSR (Acc-Norm, 0-shot)43.9543.95100.0%
MMLU-Pro (Acc, 5-shot)49.8249.1498.6%
Average Score36.9237.00100.2%
CodingHumanEval (pass@1)86.0085.8099.8%
HumanEval (pass@10)92.5093.00100.5%
HumanEval+ (pass@10)82.0081.8099.8%
HumanEval+ (pass@10)88.7089.40100.8%
+ + +## Inference Performance + + +This model achieves up to 1.8x speedup in single-stream deployment and up to 2.2x speedup in multi-stream asynchronous deployment, depending on hardware and use-case scenario. +The following performance benchmarks were conducted with [vLLM](https://docs.vllm.ai/en/latest/) version 0.7.2, and [GuideLLM](https://github.com/neuralmagic/guidellm). + +
+Benchmarking Command + +``` +guidellm --model neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a8 --target "http://localhost:8000/v1" --data-type emulated --data "prompt_tokens=,generated_tokens=" --max seconds 360 --backend aiohttp_server +``` +
+ +### Single-stream performance (measured with vLLM version 0.7.2) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Instruction Following
256 / 128		Multi-turn Chat
512 / 256		Docstring Generation
768 / 128		RAG
1024 / 128		Code Completion
256 / 1024		Code Fixing
1024 / 1024		Large Summarization
4096 / 512		Large RAG
10240 / 1536
GPU classNumber of GPUsModelAverage cost reductionLatency (s)QPDLatency (s)QPDLatency (s)QPDLatency (s)QPDLatency (s)QPDLatency (s)QPDLatency (s)QPDLatency (s)QPD
A60002deepseek-ai/DeepSeek-R1-Distill-Qwen-32B---6.335912.81766.53476.634249.94550.84426.68583.427
1neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a81.816.964813.83257.26297.262254.88255.68130.015094.847
1neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w4a163.073.911687.85804.310414.697529.715130.914619.323361.473
A1001deepseek-ai/DeepSeek-R1-Distill-Qwen-32B---5.636111.11805.73505.834744.04644.74523.68573.727
1neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a81.503.75477.32753.85363.852829.06929.56815.712853.138
1neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w4a162.302.28944.54492.48312.579817.411618.011210.519149.541
H1001deepseek-ai/DeepSeek-R1-Distill-Qwen-32B---3.33276.71633.43203.431726.64126.94114.37747.823
1neuralmagic/DeepSeek-R1-Distill-Qwen-32B-FP8-dynamic1.522.25034.32522.24902.348517.36317.5639.511633.433
1neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w4a161.612.15324.12682.15162.151316.16816.5669.112031.934
+ +**Use case profiles: prompt tokens / generation tokens + +**QPD: Queries per dollar, based on on-demand cost at [Lambda Labs](https://lambdalabs.com/service/gpu-cloud) (observed on 2/18/2025). + + +### Multi-stream asynchronous performance (measured with vLLM version 0.7.2) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Instruction Following
256 / 128		Multi-turn Chat
512 / 256		Docstring Generation
768 / 128		RAG
1024 / 128		Code Completion
256 / 1024		Code Fixing
1024 / 1024		Large Summarization
4096 / 512		Large RAG
10240 / 1536
HardwareModelAverage cost reductionMaximum throughput (QPS)QPDMaximum throughput (QPS)QPDMaximum throughput (QPS)QPDMaximum throughput (QPS)QPDMaximum throughput (QPS)QPDMaximum throughput (QPS)QPDMaximum throughput (QPS)QPDMaximum throughput (QPS)QPD
A6000x2deepseek-ai/DeepSeek-R1-Distill-Qwen-32B---6.2139401.943482.761532.147780.613820.49300.36850.1124
neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a81.808.7194924.294744.192903.068021.227340.919620.511770.1254
neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w4a161.305.9133662.557332.454091.635251.227570.716630.36760.1214
A100x2deepseek-ai/DeepSeek-R1-Distill-Qwen-32B---12.9130165.858486.363485.151462.019881.514630.98690.2192
neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w8a81.5221.4214798.9894810.6106118.281973.030182.020541.212410.3264
neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w4a161.0913.5135686.565096.060754.747542.827901.616510.98620.2225
H100x2deepseek-ai/DeepSeek-R1-Distill-Qwen-32B---25.51439212.5703514.0787711.363643.620412.715491.910570.4200
neuralmagic/DeepSeek-R1-Distill-Qwen-32B-FP8-dynamic1.4646.72553820.31108223.31272818.4100495.328813.720972.614450.5256
neuralmagic/DeepSeek-R1-Distill-Qwen-32B-quantized.w4a161.2336.92017217.4950018.0982214.277555.329003.318672.312650.4241
+ +**Use case profiles: prompt tokens / generation tokens + +**QPS: Queries per second. + +**QPD: Queries per dollar, based on on-demand cost at [Lambda Labs](https://lambdalabs.com/service/gpu-cloud) (observed on 2/18/2025). \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..8258a5a --- /dev/null +++ b/config.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dce8a54652ebf2ea14087609a62c9365f567fdbf2117d55c9f4d8342bdcb9d36 +size 1813 diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..f40ad03 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 151646, + "do_sample": true, + "eos_token_id": 151643, + "temperature": 0.6, + "top_p": 0.95, + "transformers_version": "4.48.0" +} diff --git a/model-00001-of-00007.safetensors b/model-00001-of-00007.safetensors new file mode 100644 index 0000000..ed83420 --- /dev/null +++ b/model-00001-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a217083dc292904d192806c0ff670570fb47bf6b96fa99f0444d174fb045ba84 +size 4997762496 diff --git a/model-00002-of-00007.safetensors b/model-00002-of-00007.safetensors new file mode 100644 index 0000000..443fa53 --- /dev/null +++ b/model-00002-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dbbd8af3634e9b1122caaed8ca303ba9c148df80882b839c723c481af8c2b45f +size 4914421312 diff --git a/model-00003-of-00007.safetensors b/model-00003-of-00007.safetensors new file mode 100644 index 0000000..5f27336 --- /dev/null +++ b/model-00003-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c7897c8ff59492e66f9b53a9b8a74cdda9759d93dc918f4ab5e5c5054d4048a +size 4877701896 diff --git a/model-00004-of-00007.safetensors b/model-00004-of-00007.safetensors new file mode 100644 index 0000000..c8adf64 --- /dev/null +++ b/model-00004-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ade42434d6bf8a1247e25fb7d8f45a55b974620cb2c86955a0fe8c1c3d2ab253 +size 4877701896 diff --git a/model-00005-of-00007.safetensors b/model-00005-of-00007.safetensors new file mode 100644 index 0000000..7d45179 --- /dev/null +++ b/model-00005-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:12eebad08eb0817fedff5bf9aaf88c6f7aa90f79e13536dcd7353881ff3fbac3 +size 4877701896 diff --git a/model-00006-of-00007.safetensors b/model-00006-of-00007.safetensors new file mode 100644 index 0000000..4ec8754 --- /dev/null +++ b/model-00006-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5fc87ce593d90c8bffbc1b2002e29b5d11c49184dcb276f3f59cf46b7c741341 +size 4877701896 diff --git a/model-00007-of-00007.safetensors b/model-00007-of-00007.safetensors new file mode 100644 index 0000000..c316016 --- /dev/null +++ b/model-00007-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c756f23420a3d9a036d1db4a4b8fd883b08bccd83f06d861b4765290db19453 +size 4908582968 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..0d02816 --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ecb9438a33bfc025000cd8575afc73dec022f58d448a1ac920cdbe1adca60e82 +size 102346 diff --git a/recipe.yaml b/recipe.yaml new file mode 100644 index 0000000..1ab789e --- /dev/null +++ b/recipe.yaml @@ -0,0 +1,21 @@ +quant_stage: + quant_modifiers: + SmoothQuantModifier: + smoothing_strength: 0.8 + mappings: + - - ['re:.*q_proj', 're:.*k_proj', 're:.*v_proj'] + - re:.*input_layernorm + - - ['re:.*gate_proj', 're:.*up_proj'] + - re:.*post_attention_layernorm + - - ['re:.*down_proj'] + - re:.*up_proj + GPTQModifier: + sequential_update: true + dampening_frac: 0.01 + ignore: [lm_head] + config_groups: + group_0: + targets: [Linear] + weights: {num_bits: 8, type: int, symmetric: true, strategy: channel, observer: mse} + input_activations: {num_bits: 8, type: int, symmetric: true, strategy: token, dynamic: true, + observer: memoryless} diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..1d385d6 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,23 @@ +{ + "bos_token": { + "content": "<｜begin▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..8e71bf3 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88145e3c3249adc2546ede277e9819d6e405e19072456e4b521cbc724bd60773 +size 7031660 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..1046e6c --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ac8c85fb242563c2260baec0909debd69d718af6a0b3d90e6cab62b4d341cd5 +size 3071