MODEL PROFILE

Qwen3.8-27B-Quark-AWQ-INT4-W4A16

amd · Qwen3.8-27B-Quark-AWQ-INT4-W4A16

INT4 weight-only (W4A16) quantized version of `Qwen/Qwen3.8-27B`, produced with the **AWQ** algorithm using AMD Quark. \* BFCL Overall Acc reflects only `single_turn` categories, not the full Gorilla-leaderboard formula (multi-turn/web-search/memory categories were not run and would count as 0 against the public leaderboard's own Overall Acc). Sub-metrics: Non-Live AST 86.58% (base 88.52%), Live AST 81.57% (base 83.05%), Relevance Detection 75.00% (base 75.00%), Irrelevance Detection 72.47% (base 72.22%). Recovery % = quantized / BF16-base, using flexible-extract for GSM8K rows and base/quantized (inverted, since lower is better) for perplexity — both measured by us against verified-upstream `Qwen/Qwen3.8-27B` weights, not vendor-reported numbers. GSM8K uses `lm-evaluation-harness`; non-thinking mode is approximated by pre-closing an empty ` ` block in the prompt, since the harness task is a raw few-shot completion rather than a chat-templated request. BFCL run via the official `bfcl_eval` harness.

Visual QAlicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/2 19:17:06
OVERVIEW

Model overview

INT4 weight-only (W4A16) quantized version of `Qwen/Qwen3.8-27B`, produced with the **AWQ** algorithm using AMD Quark. \* BFCL Overall Acc reflects only `single_turn` categories, not the full Gorilla-leaderboard formula (multi-turn/web-search/memory categories were not run and would count as 0 against the public leaderboard's own Overall Acc). Sub-metrics: Non-Live AST 86.58% (base 88.52%), Live AST 81.57% (base 83.05%), Relevance Detection 75.00% (base 75.00%), Irrelevance Detection 72.47% (base 72.22%). Recovery % = quantized / BF16-base, using flexible-extract for GSM8K rows and base/quantized (inverted, since lower is better) for perplexity — both measured by us against verified-upstream `Qwen/Qwen3.8-27B` weights, not vendor-reported numbers. GSM8K uses `lm-evaluation-harness`; non-thinking mode is approximated by pre-closing an empty ` ` block in the prompt, since the harness task is a raw few-shot completion rather than a chat-templated request. BFCL run via the official `bfcl_eval` harness.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。