Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled — FP8 Dynamic

This is an FP8 dynamically quantized version of Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled, created using LLM Compressor.

Quantization Details

About the Base Model

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled is a reasoning-focused model fine-tuned from Qwen3.5-27B using Chain-of-Thought (CoT) distillation from Claude 4.6 Opus. It uses <think> tags for structured internal reasoning before providing answers.

Key capabilities:

• Modular & structured thinking in <think> blocks
• Tool calling and coding agent support (Claude Code, OpenCode)
• 262K token context length
• Native developer role support

For full details on the base model, see the original model card.

Usage

With vLLM (recommended)

from vllm import LLM, SamplingParams

model = LLM(model="BarraHome/Qwen3.5-27B-Claude-4.6-Opus-FP8-Dynamic")
sampling_params = SamplingParams(max_tokens=2048, temperature=0.6)
output = model.generate(["Hello, tell me about yourself"], sampling_params)
print(output[0].outputs[0].text)

With Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "BarraHome/Qwen3.5-27B-Claude-4.6-Opus-FP8-Dynamic",
    device_map="auto",
    trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(
    "BarraHome/Qwen3.5-27B-Claude-4.6-Opus-FP8-Dynamic",
    trust_remote_code=True,
)

input_ids = tokenizer("Hello my name is", return_tensors="pt").input_ids.to(model.device)
output = model.generate(input_ids, max_new_tokens=100)
print(tokenizer.decode(output[0]))

How It Was Made

from transformers import AutoModelForCausalLM, AutoTokenizer
from llmcompressor import oneshot
from llmcompressor.modifiers.quantization import QuantizationModifier

model = AutoModelForCausalLM.from_pretrained(
    "Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled",
    dtype="auto",
    low_cpu_mem_usage=True,
    trust_remote_code=True,
)

recipe = QuantizationModifier(
    targets="Linear",
    scheme="FP8_DYNAMIC",
    ignore=["lm_head"],
)

oneshot(model=model, recipe=recipe, output_dir="Qwen3.5-27B-Claude-4.6-Opus-FP8-Dynamic")

Credits

• Base model: Jackrong for the original Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
• Quantization: BarraHome using LLM Compressor